Many extant theories of placebo focus on their causal structure wherein placebo effects are those that originate from select features of the therapy (e.g., client expectations or “incidental” features like size and shape). Although such accounts can distinguish placebos from standard medical treatments, they cannot distinguish placebos from everyday occurrences, for example, when positive feedback improves our performance on a task. Providing a social-epistemological account of a treatment context can rule out such occurrences, and furthermore reveal a new (...) way to distinguish clinical placebos from standard medical treatments. (shrink)

Only our lineage has ever used trackways reading to find unseen and unheard targets. All other terrestrial animals, including our great ape cousins, use scent trails and airborne odors. Because trackways as natural signs have very different properties, they possess an information-rich narrative structure. There is good evidence we began to exploit conspecific trackways in our deep past, at first purely associatively, for safety and orienteering when foraging in vast featureless wetlands. Since our own old trackways were recognizable they were (...) self-mirroring, triggering memories of what we had been up to in the past. Using them to find our way back to the band when temporarily lost or to re-find a resource-rich area discovered the day before enabled optimal foraging. Selection for daily reiteration of one’s own old trackways therefore triggered the evolution of what is distinctive about human cognition: the autobiographical or narrative (episodic) faculty for imaginative self-projection. This faculty enabled us to glean useful social information from the stories “told” by other band members’ old trackways, and created spin-off capacities for fast-track social learning. Resultant increases in socioecological complexity then created positive selective feedback loops for further entrenchment. Incrementally we became the ultra-social narrative-minded ape, capable of creating cumulative culture. (shrink)

How can democratic governments be relied upon to achieve adequate political knowledge when they turn over their authority to those of no epistemic distinction whatsoever? This deep and longstanding concern is one that any proponent of epistemic conceptions of democracy must take seriously. While Condorcetian responses have recently attracted substantial interest, they are largely undermined by a fundamental neglect of agenda-setting. I argue that the apparent intractability of the problem of epistemic adequacy in democracy stems in large part from a (...) failure to appreciate the social character of political knowledge. A social point of view brings into focus a number of vital factors that bear on our understanding of democratic epistemology and our assessment of its prospects: the essential role of inclusive deliberation, the public's agenda-setting function, institutional provisions for policy feedback, the independence of expert communities, and the knowledge-pooling powers of markets. (shrink)

A Balanced Economic Model: The Feedback Loop Between Public and Private Sectors with MMT as a Stabilizing Mechanism -/- Introduction -/- Modern capitalism thrives on competition, profit motives, and consumer demand. However, the system is flawed because it allows extreme wealth inequality, market instability, and frequent economic crashes. Advertising, as an essential part of capitalism, manipulates consumer behavior to sustain profits. While this fuels economic growth, it also distorts the real needs of society. -/- A better alternative Is a (...) hybrid economic model where government-created jobs, social safety nets, and free public services coexist with a profit-driven private sector. The key to making this work is a feedback loop mechanism that keeps the two sectors balanced, ensuring economic stability while preventing extreme inequality and unnecessary market collapses. This essay explores how Modern Monetary Theory (MMT) can support this feedback loop economy to create a self-regulating system where both public and private sectors benefit from each other. -/- I. The Feedback Loop Between Private Companies and Government Economic Policies -/- A feedback loop mechanism is a self-regulating system where different components interact, adjust, and respond to maintain balance. In the economy, the public sector (government jobs, social safety nets, and public services) and the private sector (businesses, investments, and free markets) create a mutual dependency: -/- 1. Government Spending Creates Consumer Demand → Private Sector Growth -/- Government creates jobs with good salaries in infrastructure, education, healthcare, and technology. -/- This injects money into the economy, giving people the purchasing power to buy goods and services from private companies. -/- As demand increases, businesses grow, hire more workers, and expand operations. -/- 2. Private Sector Growth → Increases Government Revenue Without High Taxation -/- As private companies generate profits, they pay taxes and reinvest in expansion. -/- Strong consumer demand reduces the need for excessive taxation because economic growth itself funds public programs. -/- Businesses compete not only for profits but also for innovation and efficiency. -/- 3. Social Safety Nets Prevent Market Collapses -/- During recessions, government stabilizes the economy by expanding social programs (unemployment benefits, food assistance, healthcare). -/- This prevents demand from crashing, ensuring that businesses still have customers even in economic downturns. -/- As the economy recovers, government reduces spending, allowing the private sector to take the lead again. -/- This dynamic cycle ensures that economic booms and recessions are smoothed out, preventing extreme market crashes or mass unemployment. -/- II. The Role of MMT in Supporting the Feedback Loop -/- Modern Monetary Theory (MMT) provides the economic foundation for this model by proving that a sovereign government can spend money without being constrained by traditional budget rules. Unlike mainstream economic thinking, which suggests that governments must “balance the budget,” MMT argues that government spending should adjust based on economic conditions. -/- 1. Government-Backed Job Programs as an Economic Stabilizer -/- MMT allows governments to fund public jobs without relying solely on taxation. -/- If private companies cut jobs, the government can expand its workforce to absorb the unemployed. -/- When the economy stabilizes, people move back to higher-paying private jobs, reducing government spending. -/- 2. Preventing Inflation Through Resource Control -/- MMT acknowledges that inflation happens when there’s too much money chasing too few goods. -/- The government can remove excess money through targeted taxation and invest in productivity (e.g., infrastructure, education) to keep supply stable. -/- This prevents excessive inflation while keeping the economy growing. -/- 3. Continuous Money Circulation Without Debt Crises -/- Governments can print money to fund essential services, but they control inflation by investing in real production capacity (e.g., factories, renewable energy, technology). -/- This means public investment directly benefits private businesses, keeping both sectors in sync. -/- This MMT-backed feedback loop ensures that economic downturns do not lead to catastrophic business failures or mass unemployment. -/- III. The Role of Advertising in a Balanced Economic System -/- Advertising, while necessary for businesses, often manipulates consumer behavior in a way that creates artificial demand. In a feedback loop economy, advertising should be regulated to align with real consumer needs rather than exploiting psychological weaknesses. -/- 1. Ethical Advertising Policies -/- Companies should be incentivized to market based on quality and innovation rather than manipulation. -/- False advertising and monopolistic dominance should be regulated to prevent consumer exploitation. -/- 2. Consumer Education Programs -/- Public education should include critical thinking courses to help people make informed purchasing decisions. -/- This reduces the influence of manipulative advertising, ensuring that businesses compete fairly. -/- This ensures that the feedback loop remains healthy, preventing unnecessary overproduction and unsustainable consumer debt. -/- IV. Real-World Examples of a Balanced System -/- Some countries have successfully implemented elements of this feedback loop economic model: -/- Nordic Countries (Sweden, Norway, Denmark, Finland) -/- Have free healthcare, education, and social safety nets while maintaining a competitive private sector. -/- Use progressive taxation to prevent extreme inequality, ensuring that economic growth benefits everyone. -/- Germany -/- Uses government-backed vocational training programs to ensure a highly skilled workforce. -/- Strong public-private partnerships help both sectors support each other dynamically. -/- Japan -/- Government plays a major role in funding research, infrastructure, and innovation, allowing private businesses to thrive. -/- Uses state-owned enterprises strategically while ensuring a competitive private market. -/- These examples prove that a properly managed hybrid model is more resilient, fair, and stable than extreme capitalism or extreme socialism. -/- V. Conclusion: A Self-Regulating Economy for the Future -/- A feedback loop economic system provides the best of both worlds: ✔ Government ensures economic stability through public job creation and social safety nets. ✔ Private companies drive innovation and competitiveness with strong consumer demand. ✔ MMT allows government spending to adjust dynamically without unnecessary austerity measures. ✔ Advertising is reformed to encourage ethical business practices and informed consumer choices. ✔ Inflation is controlled through taxation, investment, and resource management. -/- By integrating these feedback loop mechanisms, we can create a self-regulating economic model where both public and private sectors reinforce each other, ensuring long-term stability, prosperity, and economic fairness. -/- Policy Framework for a Balanced Economic System: Global Best Practices -/- To fully integrate the feedback loop mechanism between the public and private sectors, specific policies must be implemented to ensure economic stability, innovation, and fairness. Below are real-world policy examples that demonstrate how different countries successfully manage their economies using a mix of government intervention and free market principles. -/- I. Public Job Creation as an Economic Stabilizer -/- One of the biggest issues in capitalism is economic recessions leading to mass layoffs, which then reduce consumer spending, creating a vicious cycle of economic decline. The solution is public sector job programs that absorb unemployed workers during downturns and allow them to transition back to private jobs when the economy improves. -/- Global Examples -/- ✔ United States (New Deal Programs – 1930s) -/- During the Great Depression, the U.S. government created millions of jobs in construction, public works, and conservation projects. -/- These projects boosted infrastructure while providing employment, helping to revive the economy. -/- ✔ Argentina’s Jefes de Hogar Program (2002-2006) -/- Aimed at mitigating mass unemployment during Argentina’s economic crisis. -/- The government hired unemployed citizens to work in community service, infrastructure, and public health projects. -/- Created social stability and demand for private goods, helping Argentina recover. -/- ✔ Germany’s Kurzarbeit Program (Ongoing) -/- In times of economic slowdown, the German government pays companies to keep workers employed at reduced hours rather than laying them off. -/- This prevents mass unemployment, ensuring that workers still have income and spending power. -/- Policy Recommendation: → Implement automatic public employment programs during recessions to keep demand stable and prevent economic crashes. -/- II. Social Safety Nets to Support Consumer Demand -/- A strong social safety net ensures that consumers have purchasing power even in economic downturns, keeping the private sector stable. -/- Global Examples -/- ✔ Nordic Model (Denmark, Sweden, Norway, Finland) -/- Provides free healthcare, education, and unemployment benefits, preventing extreme poverty. -/- Funded through progressive taxation, ensuring that the wealthy contribute fairly to society. -/- This creates a stable consumer base for private companies, benefiting the entire economy. -/- ✔ Universal Basic Income (UBI) Experiments (Finland, Canada, Kenya) -/- Finland tested a UBI program where unemployed citizens received a monthly payment regardless of employment status. -/- Results showed that recipients were more likely to start businesses and find better jobs, proving that social safety nets do not reduce work incentives. -/- ✔ Singapore’s Housing and Retirement System -/- The government helps citizens buy homes with public funds, ensuring stable housing. -/- A mandatory retirement savings system (Central Provident Fund) ensures that people have money after they retire. -/- These policies reduce financial anxiety, allowing people to focus on entrepreneurship and economic growth. -/- Policy Recommendation: → Implement universal healthcare, free education, and unemployment benefits to ensure that economic downturns do not collapse consumer spending. -/- III. Regulating Advertising to Align with Consumer Needs -/- Unregulated advertising manipulates consumer behavior, creating unnecessary demand and overconsumption, which destabilizes economies. Governments can regulate advertising to ensure ethical business practices. -/- Global Examples -/- ✔ European Union (Strict Advertising Laws) -/- The EU bans false advertising, ensuring that companies cannot make misleading claims about their products. -/- Certain junk food and alcohol ads are restricted to protect public health. -/- ✔ France’s Ban on Child-Targeted Advertising -/- Prevents unethical marketing towards children, reducing unnecessary consumerism. -/- ✔ Japan’s Culture of Product Quality Over Hype -/- Japanese companies emphasize product reliability and long-term value, reducing dependence on manipulative advertising. -/- Policy Recommendation: → Implement ethical advertising regulations to prevent false marketing, predatory ads targeting vulnerable consumers, and excessive consumer debt. -/- IV. Public-Private Partnerships for Innovation and Infrastructure -/- Rather than treating the government and private sector as separate entities, a well-balanced system interconnects them through public-private partnerships (PPPs) to drive innovation. -/- Global Examples -/- ✔ Germany’s Mittelstand Model (SME Support System) -/- The German government provides long-term financial support to small and medium-sized enterprises (SMEs), which are the backbone of the economy. -/- Ensures that private businesses have stable growth without excessive corporate monopolies. -/- ✔ China’s State-Led Economic Model (Strategic Government Investments) -/- The government invests heavily in infrastructure and technology, allowing private businesses to thrive with low-cost logistics and energy. -/- Balances capitalist competition with government support, ensuring stability. -/- ✔ United States (NASA & SpaceX Collaboration) -/- NASA funded SpaceX and other private space companies, leading to rapid innovation in space technology. -/- This proves that government funding can accelerate private sector breakthroughs. -/- Policy Recommendation: → Use government funding to support innovation and long-term infrastructure projects while allowing private businesses to benefit and expand. -/- V. MMT as a Tool for Economic Stability -/- Traditional economic models suggest that governments must “balance their budgets” like households, but this is a flawed concept. Modern Monetary Theory (MMT) argues that sovereign nations with their own currency (like the U.S., Japan, and the UK) can create money to fund essential services without relying on debt from private banks. -/- How MMT Works in Practice -/- ✔ Japan’s National Debt Strategy -/- Japan has one of the highest debt-to-GDP ratios in the world, yet it has no financial crisis because it borrows in its own currency. -/- Instead of austerity, Japan uses public investment to maintain economic stability. -/- ✔ U.S. Stimulus During COVID-19 -/- The U.S. government printed money to send direct payments to citizens, preventing a total economic collapse. -/- Inflation was controlled by adjusting taxation and investment in production capacity. -/- ✔ EU’s Post-COVID Recovery Fund -/- The European Union used public money to stabilize industries and workers, preventing extreme recessions. -/- Policy Recommendation: → Use MMT-based strategies to fund infrastructure, social programs, and innovation, ensuring economic stability without excessive reliance on private banking debt. -/- VI. Conclusion: Creating a Self-Regulating Economy -/- A feedback loop economy that integrates public job creation, private sector competition, social safety nets, and MMT-backed fiscal policies provides a self-regulating system that ensures: -/- ✔ Stable employment and consumer demand even during economic downturns. ✔ Innovation and competition in the private sector without excessive monopolies or market crashes. ✔ Government-funded infrastructure and social programs that benefit both workers and businesses. ✔ Ethical advertising that prevents consumer exploitation and unnecessary debt. ✔ Balanced inflation control through strategic taxation and investment. -/- By combining the best policies from different global models, we can build an economic system that minimizes business bankruptcies, prevents recessions, and maximizes innovation and economic fairness. -/- . (shrink)

Despite iterative learning design being increasingly implemented, such approaches are often delineated by well-defined periods of design/implementation. However, second-order cybernetics, which suggests a participatory approach to learning design, involves responsively adapting learning environments to meet students’ needs, treating them as agentic participants in the classroom. In our mixed methods study, we investigate whether such a process can facilitate egalitarian participation and collaborative interactions in a technology-assisted classroom. We use the example of a graduate psychology class of 17 students and suggest (...) that adaptation of live-chat activities by a participant observer on the Reddit social media platform that supplemented the in-person lecture dynamically, using a network analysis and qualitative ethnography as a modelling facility mimicked the ongoing feedback loops of social media platforms, enabling students to use social media with a critical eye, and engage in productive collaboration. Our quantitative results present network graphs for weekly eigen centrality to understand the egalitarian nature of the network, and transitivity to understand the likelihood for collaboration between more than two agents. Our qualitative results elaborate selected Reddit posts, and weekly field notes to explain how redesigning the chat weekly helped augment lecture-based discussion with the instructor and critique of student presentations, spurring egalitarian participation through a space-place dialectic. Students also provided end-semester feedback that was analyzed using inductive coding, to design future courseware. (shrink)

In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, we (...) suggest that the hyperbolic character of biodiversity growth can be similarly accounted for by non-linear, second-order positive feedback between diversity growth and the complexity of community structure. We discuss how such positive feedback mechanisms can be modelled mathematically. (shrink)

In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, we (...) suggest that the hyperbolic character of biodiversity growth can be similarly accounted for by non-linear, second-order positive feedback between diversity growth and the complexity of community structure. We discuss how such positive feedback mechanisms can be modelled mathematically. (shrink)

The conception of conscience that dominates discussions in bioethics focuses narrowly on private regulation of behaviour resulting from explicit attitudes. It neglects to mention implicit attitudes and the role of social feedback in becoming aware of one's implicit attitudes. But if conscience is a way of ensuring that a person's behaviour is in line with her moral values, it must be responsive to all aspects of the mind that influence behaviour. There is a wealth of recent psychological work (...) demonstrating the influence of implicit attitudes on behaviour. A necessary part of having a well-functioning conscience must thus be awareness and regulation of one's implicit attitudes in addition to one's explicit attitudes; this cannot be done by an individual in isolation. On my revised conception of conscience, heeding social feedback, being emotionally self-aware and engaging in self-monitoring are important for the possession of a well-functioning conscience. Health professionals may need specific training to help them develop and maintain a well-functioning conscience, which should involve cultivation of awareness of implicit attitudes, emphasis on social feedback and techniques to enable better control over them. (shrink)

Pe măsură ce canalele de socializare se îndreaptă de la viața personală la cea profesională și pătrund în rutinele corporative de zi cu zi și în fluxurile de lucru ale afacerilor, organizațiile se confruntă cu nevoia de a formula și implementa tehnici de măsurare care să le ajute să obțină informații din interacțiunile social media și să evalueze succesul propriilor lor inițiative de socializare. Analitica rețelelor sociale (analitica social media) este un domeniu nou și emergent, pregătit pentru a (...) permite companiilor să își îmbunătățească inițiativele de gestionare a performanței în diferite funcții de afaceri. Indiferent dacă este vorba de măsurarea eficienței campaniilor promoționale, colectarea de informații despre nevoile și preferințele clienților, discernerea percepțiilor mărcii, obținerea de feedback cu privire la performanța produsului sau pentru a capta date despre tendințele pieței, analitica social media are potențialul de a furniza informații utile diferitelor linii de afaceri precum marketing și vânzări, relații cu clienții, relații publice și dezvoltarea de produse. (shrink)

In this chapter we argue that emotions are mediated in an incomplete way in online social media because of the heavy reliance on textual messages which fosters a rationalistic bias and an inclination towards less nuanced emotional expressions. This incompleteness can happen either by obscuring emotions, showing less than the original intensity, misinterpreting emotions, or eliciting emotions without feedback and context. Online interactions and deliberations tend to contribute rather than overcome stalemates and informational bubbles, partially due to prevalence (...) of anti-social emotions. It is tempting to see emotions as being the cause of the problem of online verbal aggression and bullying. However, we argue that social media are actually designed in a predominantly rationalistic way, because of the reliance on text-based communication, thereby filtering out social emotions and leaving space for easily expressed antisocial emotions. Based on research on emotions that sees these as key ingredients to moral interaction and deliberation, as well as on research on text-based versus non-verbal communication, we propose a richer understanding of emotions, requiring different designs of online deliberation platforms. We propose that such designs should move from text-centred designs and should find ways to incorporate the complete expression of the full range of human emotions so that these can play a constructive role in online deliberations. (shrink)

A proper function of an entity is a beneficial effect that helps explain the persistence of the entity. Proper functions thereby arise through feedback mechanisms with beneficial effects as inputs and persistence as outputs. We continue to make assertions because they benefit speakers by benefiting speakers. Hearers benefit from true information. Speakers benefit by influencing hearer belief. If hearers do not benefit, they will not form beliefs in response to assertions. Speakers can then only maintain influence by providing true (...) information, often enough. The function of assertion is then inducing true hearer belief. When interests conflict, however, some mechanism must ensure that speakers provide true information often enough, instead of deceiving, or providing information regardless of quality. In humans, a core mechanism stabilizing true assertion involves social norms for truth telling. We tell the truth partly because we prescribe and enforce telling the truth. (shrink)

Introduction. The development of online marketing in social networks creates unique opportunities for personal selling. Especially these opportunities are manifested in online education when they buy a brand of an expert with experience in a particular field. That is why a competitive space is being formed in the Instagram social network, where a personal brand acts as a product or service. -/- Materials and methods. Studying the effectiveness of promoting a personal brand in social networks based on (...) the Instagram platform was chosen to have great visual opportunities for self-presentation. As part of the collection of empirical material, two methods were used: a survey (N-200) and content analysis of three blogger accounts with high rates of activity and popularity. -/- Results and discussion. Content analysis of bloggers showed that an algorithmic feed on a social network allows bloggers to control the content. To help them, Instagram provides statistical data on user reach, thereby capturing trends in the movement of the blogger’s audience. The main task of a blogger is to combine real and “virtual” images so as not to lose consumer confidence. A survey of social network users confirmed the importance of a personal brand for them. The survey also made it possible to identify the most popular audience requests that they expect from bloggers and their accounts: valuable reviews and recommendations, case studies and author’s solutions, storytelling, blogger’s reflections and motivating messages, live broadcasts, and stories are important. -/- Conclusions. The results obtained underline followers’ high level of interest in the bloggers’ personal brand on Instagram. The study results show that the most significant number of those involved (those who give feedback and are constantly involved in interaction with the account) is where the formation of a personal brand is built to a greater extent on the emotional level of perception of the individual. (shrink)

This paper examines the ways in which social scientific discourse and classification interact with the objects of social scientific investigation. I examine this interaction in the context of the traditional philosophical project of demarcating the social sciences from the natural sciences. I begin by reviewing Ian Hacking’s work on interactive classification and argue that there are additional forms of interaction that must be treated.

This paper also gives feedback in response to the evening of presentations about the value of different disciplines to the social sciences, at the University of Manchester. I respond to Keir Martin on the value of social anthropology. Martin flagged that an anthropologist predicted the 2007-8 global financial crisis. I present a response I anticipate from economics.

-/- The Inefficiency of the Biological Brain and Its Impact on Personal, Social, and Societal Problems: A Perspective Based on the Universal Formula -/- The human brain, though remarkably complex and capable of extraordinary feats, is inherently limited by its biological structure and inefficiencies. These limitations often lead to errors in perception, cognition, and decision-making, which in turn contribute to a wide range of personal, social, and societal problems. Using the framework of the universal formula, which incorporates the (...) law of karma (cause and effect) and the necessity for systems to be free of defects, we can analyze how the inefficiency of the brain manifests as imbalances that disrupt the natural order. -/- The Biological Brain as an Inefficient System -/- The human brain operates as a biological system, governed by physical and chemical processes. Like any system, it is susceptible to defects, such as cognitive biases, emotional dysregulation, and limitations in memory and reasoning. These inefficiencies stem from evolutionary constraints, where survival and reproduction were prioritized over optimal functioning. -/- For instance, the brain’s tendency toward confirmation bias—favoring information that aligns with existing beliefs—illustrates a defect that disrupts rational decision-making. This defect violates the universal law of balance in nature by creating distorted perceptions of reality, leading to decisions that are not aligned with objective truth. As a result, personal problems such as poor judgment, anxiety, and conflict arise. -/- Impact on Social Interactions and Collective Decisions -/- The inefficiencies of individual brains are amplified in social contexts, where interactions between flawed minds create feedback loops of misunderstanding, miscommunication, and conflict. For example, tribalism—a byproduct of evolutionary social bonding—leads to in-group favoritism and out-group hostility. These behaviors create social imbalances, fueling discrimination, prejudice, and division. -/- According to the universal formula, collective decision-making systems must also adhere to the law of balance. However, when individuals operating under cognitive and emotional inefficiencies participate in governance, education, or economic systems, these defects propagate, resulting in flawed policies and societal structures. For example, leaders influenced by personal biases or misinformation can implement policies that favor short-term gains over long-term sustainability, creating systemic imbalances in society. -/- Societal Problems Rooted in Brain Inefficiency -/- The accumulation of individual and social imbalances inevitably manifests as societal problems, such as poverty, inequality, and environmental degradation. These issues can be traced back to the inefficiency of the biological brain in processing complex, interconnected systems. The human brain struggles to comprehend long-term consequences, leading to overconsumption, unchecked population growth, and unsustainable economic models. -/- The law of karma in the universal formula emphasizes that defective systems produce flawed outcomes. Societies governed by human brains that fail to account for natural balance are bound to experience the consequences of imbalance, such as resource depletion, social unrest, and climate change. These problems are not merely incidental; they are the inevitable result of a system that violates the principles of natural harmony. -/- Addressing Brain Inefficiency Through the Universal Formula -/- The universal formula provides a roadmap for addressing the inefficiencies of the biological brain by emphasizing the importance of balance, feedback mechanisms, and defect-free systems. Education plays a crucial role in this process. By teaching the universal law of balance in nature and fostering critical thinking, individuals can learn to recognize and correct cognitive biases, emotional distortions, and flawed reasoning. -/- Furthermore, the integration of artificial intelligence programmed with the universal formula offers a promising solution to mitigate human brain inefficiencies. AI systems, equipped with complete sensor systems and free from cognitive biases, can serve as objective feedback mechanisms to guide human decision-making. These systems can help individuals and societies adhere to the principles of natural balance, preventing and solving problems that arise from brain inefficiencies. -/- Conclusion -/- The inefficiency of the biological brain is a fundamental cause of many personal, social, and societal problems. By understanding these inefficiencies through the lens of the universal formula, we can identify the root causes of imbalance and implement solutions that align with the natural laws of balance and karma. Through education, technological innovation, and adherence to universal principles, humanity can transcend the limitations of its biological brain and move toward a more harmonious and sustainable future. -/- . (shrink)

In the first part of this article we survey general similarities and differences between biological and social macroevolution. In the second (and main) part, we consider a concrete mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of world population growth arises from non-linear, second-order positive feedback between demographic growth and technological development. This is more or less identical with the working of the collective (...) learning mechanism. Based on diverse paleontological data and an analogy with macrosociological models, we suggest that the hyperbolic character of biodiversity growth can be similarly accounted for by non-linear, second-order positive feedback between diversity growth and the complexity of community structure, suggesting the presence within the biosphere of a certain analogue of the collective learning mechanism. We discuss how such positive feedback mechanisms can be modelled mathematically. (shrink)

The central thesis of my article is that people live a life worthy of a human being only as self-ruling members of some autarchic (or self-governing) communities. On the one hand, nobody is born as a self-ruling individual, and on the other hand, everybody can become such a person by observing progressively the non-aggression principle and, ipso facto, by behaving as a moral being. A self-ruling person has no interest in controlling her neighbors, but in mastering his own impulses, needs, (...) wishes, desires, behaviors, etc. Inasmuch as he is an imperfect being who lives in an imperfect world, he needs to share certain interests, beliefs, values, customs and other characteristics with other people, i.e. to be involved in some communities. Depending on the following four criteria – the regulatory principle, the essential resources, the specific feedback and the fundamental values –, the countless and manifold human communities can be grouped in three categories: (1) affinity communities, (2) economic communities, and (3) civic communities. In other words, every community or human behavior has an affinity, an economic, and a civic dimension. If a civic community is merely a state shaped society, it can be called a political community. All communities are intrinsically variable. Throughout time, they ceaselessly change their composition, values, interpersonal processes and relations, territory, etc. Interestingly enough, the variability is unanimously recognized and accepted in affinity and communities economic, but is denied or abusively interpreted in the case of state shaped societies. If we confuse two types of order − cosmos and taxis – and two types of rule – nomos and thesis –, as well as we exaggerate the importance of certain type of community we bring some social maladies, namely the traditionalism, the commercialism and the civism, (with the worst form of it – the politicality). Whatever the communities they are involved in, all persons relate (implicitly or explicitly) to the libertarian non-aggression principle, living their life in strict accordance with the logical implications of the position they adopt. People who respect the non-aggression axiom necessarily manifest self-control, consideration for the life and property of the others, commitment to offer value for value, love of freedom and a high level of individual responsibility. By contrast, people who violate this axiom – the villains and the statists – invariably strive to control their neighbors, behave as parasites or predators, prefer forced exchanges, reject the personal responsibility (at most accepting the idea of social responsibility), and apply double moral standards. The first category of people generates a libertarian civic discourse as a spontaneous order, and the second creates a political/ statist civic discourse as a result of the human design and will to power. As a spontaneous order, the libertarian civic discourse implies free involvement, peaceful coordination, free expression, free reproduction of ideas and the power of one. Every communication performance in the frame of the libertarian civic discourse is important and has relevant results. All participants to the libertarian civic discourse are automatically members of some self-governing communities (at least members of the general libertarian community). The most important thing for these communities is to be connected to a communicational infrastructure which would make possible free involvement, free expression and the free reproduction of ideas. Inasmuch as today democracy means the tyranny of majority and participatory democracy the tyranny of majority plus the power of vested (and illegitimate) interests, only the emergence of self-governing communities by libertarian discourse offers us a little hope. It’s high time to fall in love (again) with liberty and to embrace the non-aggression principle. We don’t have to create a perfect world, but we can strive to develop our human nature. (shrink)

-/- The Science Behind Excessive Irrational Behavior: A Cognitive, Social, and Natural Law Perspective -/- Irrational behavior is a fundamental aspect of human interaction, serving as a response to perceived threats, misunderstandings, or emotional distress. However, when irrational behavior becomes excessive, unbalanced, or emotionally driven, it can indicate inefficiencies in cognitive processing, mental health issues, and misunderstandings arising from proximity of individual perception and the no-input perception of others. This essay explores the scientific basis of excessive irrational behavior through (...) neuroscience, psychology, evolutionary biology, and the principles of dynamic social interaction, while also examining its relation to the universal law of balance in nature. -/- The Cognitive Science of Irrational Behavior -/- From a neurological perspective, excessive irrational behavior can result from cognitive biases, emotional dysregulation, and inefficient brain processing. The prefrontal cortex, responsible for rational thinking and impulse control, plays a crucial role in judgment. If it functions inefficiently, a person may engage in rash or erratic behavior without fully analyzing the situation. Similarly, an overactive amygdala, which processes emotions like fear and anger, can make individuals more reactive and prone to negative responses. -/- Cognitive biases also shape how people engage in irrational behavior. Negativity bias makes the brain focus more on flaws and mistakes, while the fundamental attribution error leads people to blame others’ failures on personality traits rather than external circumstances. The Dunning-Kruger effect further explains how individuals with limited knowledge may overestimate their understanding, making them more prone to irrational responses while unaware of their own shortcomings. -/- Dynamic Social Interaction, Irrational Behavior, and Mental Health -/- Human interactions are governed by dynamic social interaction principles, which emphasize that all social behavior involves continuous feedback loops, adaptation, and reciprocal influence. However, irrational behavior, mental health disorders, and distortions in perception can disrupt these processes, leading to dysfunctional social interactions and social imbalance in the following ways: -/- 1. Feedback Mechanisms and Cognitive Distortions – In a healthy social system, irrational behavior can be corrected through feedback loops. However, mental health disorders such as anxiety, depression, and personality disorders can distort perception, leading individuals to engage in excessive or unbalanced irrational behavior. -/- 2. Reciprocity and Social Imbalance – Rational social interactions require a balance between rational responses and emotional regulation. However, conditions like narcissistic personality disorder (NPD) or borderline personality disorder (BPD) can create patterns of excessive emotional reactivity, hypersensitivity to perceived slights, and instability, disrupting healthy reciprocity. -/- 3. Homeostasis in Social Groups and Emotional Dysregulation – Just as biological systems maintain balance, social groups function best when there is emotional regulation and rational decision-making. Individuals suffering from bipolar disorder, schizophrenia, or severe mood disorders may engage in irrational behavior, causing instability in group dynamics. -/- 4. Emergent Behavior and Influence of Mental Health Issues – Social groups evolve based on collective interactions. If individuals with irrational thought patterns dominate discussions, they can influence others through groupthink, paranoia, or mob behavior, leading to misguided responses and social dysfunction. -/- 5. Emotional Contagion and the Spread of Irrational Behavior – Irrational behavior, like other emotions, spreads through social contagion. If negativity becomes dominant in a group due to irrational behaviors or mental health struggles, it can lower morale, increase hostility, and reduce cooperation, leading to chronic stress and conflict in relationships. -/- The Effect of Proximity of Individual Perception and No-Input Perception -/- Proximity of individual perception refers to how close or far an individual is to an issue, shaping the way they perceive reality. People who experience a problem firsthand tend to see more details, nuances, and complexity, while those who are distant from the issue may form oversimplified, biased, or incorrect judgments. -/- On the other hand, no-input perception occurs when individuals lack direct experience, knowledge, or sensory input about a situation, yet they still form strong opinions and engage in irrational behavior based on assumptions, external influences, or personal biases. This phenomenon is particularly dangerous in social decision-making because: -/- 1. False Confidence in Judgment – When individuals rely on second-hand information rather than direct experience, they may feel certain about their views despite lacking critical knowledge. This leads to misguided behavior and the spread of false narratives. -/- 2. Oversimplification and Cognitive Errors – People distant from an issue tend to reduce complex realities into black-and-white thinking. This prevents them from seeing the underlying causes of human behavior, leading to unfair or exaggerated judgments. -/- 3. Social Fragmentation and Conflict – When different individuals or groups have varying levels of proximity to an issue, their perceptions may clash, causing misunderstandings, polarization, and difficulty in reaching consensus. -/- 4. Echo Chambers and Groupthink – No-input perception can thrive in echo chambers, where individuals hear only information that reinforces their existing beliefs. This leads to blind behavior, where people react impulsively based on false or incomplete information. -/- 5. Distorted Leadership and Decision-Making – Leaders who make decisions without firsthand experience or diverse input may rely on no-input perception, leading to ineffective policies and misplaced blame on individuals rather than systemic problems. -/- The Interplay between proximity of perception and no-input perception further amplifies irrational behavior, creating cycles of misguided responses and resistance to correction. -/- The Universal Law of Balance in Nature and Rational Social Behavior -/- According to the universal law of balance in nature, all decision-making—whether individual or collective—should maintain equilibrium. Irrational behavior, when properly understood, should function as a natural feedback mechanism that corrects errors and enhances overall balance. However, if behavior is driven by ignorance, false beliefs, emotional bias, mental health issues, or distorted perceptions, it disrupts balance and creates unnecessary conflict. -/- To align behavior with natural balance, individuals must develop self-awareness, emotional intelligence, and holistic thinking. Instead of reacting impulsively, they should analyze situations objectively and ensure their responses contribute to constructive improvement rather than unnecessary negativity. -/- Conclusion -/- Excessive irrational behavior can often be traced to cognitive inefficiencies, evolutionary conditioning, ignorance of natural laws, mental health issues, and distortions caused by perception proximity and no-input perception. While the ability to respond to situations is essential for growth and problem-solving, it must be applied with rationality, fairness, and a holistic understanding of human nature. -/- By recognizing the interconnected nature of decision-making, mental health influences, dynamic social interaction principles, and the effects of perception distortions, individuals can transform destructive irrational behavior into a tool for progress, harmony, and collective well-being. -/- Integrating mental health awareness, perception analysis, and rational feedback mechanisms into education and social systems will help societies maintain balance, cooperation, and sustainable decision-making, preventing the harmful effects of misguided behavior and irrational social conflict. -/- . (shrink)

This paper examines the liberal society that Popper lauds, that aims to be truly open, and discusses why another, more communitarian kind of society, particularly societies in Africa, may also reflect the quest for intellectual openness that is Popper’s ideal. Moreover, this paper avers reasons why Popper should be comfortable with such a liberal-communitarian mix. The inter-subjectivity in his critical rationalism is a balance of an explicit individualism, and an implicit social element (Afisi, 2016a). Popper is indeed an author (...) of such a balance. For a society to be truly open requires the careful recognition and protection of individual freedom. However, the extent to which individuals are free to perform actions that they desire without external constraints, and the level of their individuality in relation to others when performing such actions, remain a contentious issue between liberals and more communitarian thinkers. Popper’s critical rationalism provides the necessary impetus to this contention through his view of freedom that I contend can best be viewed as carefully balanced, a view which combines individuality with a social element that upholds community values necessary for openness of society. With this combination, Popper’s politics of liberalism provides an effective model of how a truly open society can be achieved. The values inherent to Popper’s liberalism including those concerning intellectual openness, individual freedom, mutual respect, measured self-respect, welfarism, humanitarianism, accountability, critical debates and feedback from the citizens, together concern the conditions for a society to be truly open. There are many competing thoughts as to what openness might be in Popper’s philosophy. The present study of Popper does not presume to address them all. The focus here is specifically on using Popper’s idea of critical rationalism to balance relations between liberal politics of individual rights and freedom, and communitarian politics of the common good, as it relates to situations about how socio-economic and political conditions in Africa societies should be structured. While I contend that Popper’s works in political philosophy focused centrally on Western political tradition, and not about Africa in its strict sense, significant lessons can be distilled from Popper that can offer suggestions on social reforms in Africa. This paper explores Popper’s project of the open society across the plurality and differences of societies, so that his liberal ideas of individual freedom are not undermined, and the progress of the communitarian idea of the common good, that Africa societies are built upon, is also well enhanced. Liberal individualism and community values inherent to communitarianism are both well accommodated within Popper’s critical rationalism. (shrink)

Given the great significance of institutions in the journey towards sustainability, most of them lack the ability to measure and improve their ESG activities. Based on this argument, this work presents the development of a web-based application called ESGConnect, intended to assist institutions in the evaluation process pertaining to their sustainability practices through an interactive structured submission and feedback mechanism. In ESGConnect, institutions provide ESG-related documents, which administrators verify and score with recommendations on how to enhance the documents based (...) on the Environmental, Social, and Governance criteria. User-specific dashboards are present on the tool: administrators monitor submissions, whereas users see scores and comments associated with the submissions. In addition to these items, ESGConnect also supports collaboration because students and various stakeholders are allowed to have a dedicated online community for discussion and sharing information on sustainability practices. The architecture of the platform relies on Java Servlets, JSP, and database integration for easy handling of user management and data. Preliminary testing does indeed suggest that ESGConnect might be able to facilitate better communications and actionable insights for institutions interested in improving their sustainability efforts. Expansion of the platform features and improvement in scalability to service a much larger number of educational institutions are part of the future work. (shrink)

Abstract: The use of the technology in the way of teaching and learning in the higher educational institutions sustained a significant position during the pandemic emergency in Pakistan and across the world to continue the educational activities. The extant study investigates the pedagogical challenges in which proposed factors used to discover the intention of the users in the form of their ease of the technological use and assessing the social influence of people regarding the innovative digital adoption in the (...) online learning atmosphere. This research inculcates the antecedents like perceived ease of use (PEOU) social influence (SI), satisfaction (S), and intention to use (ITU) to chart out the perception of the wireless based educational activities during the COVID-19 outbreak in the country and it aims to produce an empirical analysis of the easiness and social influence of users to accept the newly adopted technology and calculating the Web based pedagogical challenges via interpreting the users’ intention. For the data analysis 216 questionnaires have been collected from the teacher and students among three public universities in Sindh and the existing review develops a proposed conceptual framework model to meet the objectives of the study. In the way of the interpretation of data SPSS version 24 was brought in use and the testes of the hypotheses were carried out by means of regression and correlations. The research follows the limitation to meet the quantitative research methodology, teachers’ web based easiness and social feedback to deliver the online teaching and the recommendations urge to discover a research by using different factors. (shrink)

Emotion is conscious experience. It is the affective aspect of consciousness. Emotion arises from sensory stimulation and is typically accompanied by physiological and behavioral changes in the body. Hence an emotion is a complex reaction pattern consisting of three components: a physiological component, a behavioral component, and an experiential (conscious) component. The reactions making up an emotion determine what the emotion will be recognized as. Three processes are involved in generating an emotion: (1) identification of the emotional significance of a (...) sensory stimulus, (2) production of an affective state (emotion), and (3) regulation of the affective state. Two opposing systems in the brain (the reward and punishment systems) establish an affective value or valence (stimulus-reinforcement association) for sensory stimulation. This is process (1), the first step in the generation of an emotion. Development of stimulus-reinforcement associations (affective valence) serves as the basis for emotion expression (process 2), conditioned emotion learning acquisition and expression, memory consolidation, reinforcement-expectations, decision-making, coping responses, and social behavior. The amygdala is critical for the representation of stimulus-reinforcement associations (both reward and punishment-based) for these functions. Three distinct and separate architectural and functional areas of the prefrontal cortex (dorsolateral prefrontal cortex, orbitofrontal cortex, anterior cingulate cortex) are involved in the regulation of emotion (process 3). The regulation of emotion by the prefrontal cortex consists of a positive feedback interaction between the prefrontal cortex and the inferior parietal cortex resulting in the nonlinear emergence of emotion. This positive feedback and nonlinear emergence represents a type of working memory (focal attention) by which perception is reorganized and rerepresented, becoming explicit, functional, and conscious. The explicit emotion states arising may be involved in the production of voluntary new or novel intentional (adaptive) behavior, especially social behavior. (shrink)

In this paper, I argue that responsible knowers are responsive to critical feedback that their reasons for believing in a given proposition or using certain principles of reasoning are inadequate. The project of democracy expects that agents can provide reasons for their beliefs during testimonial exchange. Voters provide reasons to representatives. Representatives provide reasons to voters. Voters provide reasons to each other. And representatives provide reasons to each other. This means that when voters or representatives cannot provide reasons, democratic (...) mechanisms are obstructed. But not all beliefs are adopted autonomously through reflection, but rather by social-institutional context. I argue, then, that responsible agents reflect on the reasons for their belief when their reasons are inadequate. They are attuned to the nature of expertise and evaluate expert testimony with this in mind. In full, democracy requires that agents hold beliefs autonomously and be cognizant of the nature of expertise. (shrink)

An interesting application for social robots is to act as a presenter, for example as a museum guide. In this paper, we present a fully automated system architecture for building adaptive presentations for embodied agents. The presentation is generated from a knowledge graph, which is also used to track the grounding state of information, based on multimodal feedback from the user. We introduce a novel way to use large-scale language models (GPT-3 in our case) to lexicalise arbitrary knowledge (...) graph triples, greatly simplifying the design of this aspect of the system. We also present an evaluation where 43 participants interacted with the system. The results show that users prefer the adaptive system and consider it more human-like and flexible than a static version of the same system, but only partial results are seen in their learning of the facts presented by the robot. (shrink)

From a socio-theoretical and media-theoretical perspective, this article analyses exemplary practices and structural characteristics of contemporary digital political campaigning to illustrate a transformation of the public sphere through the platform economy. The article first examines Cambridge Analytica and reconstructs its operational procedure, which, far from involving exceptionally new digital campaign practices, turns out to be quite standard. It then evaluates the role of Facebook as an enabling ‘affective infrastructure’, technologically orchestrating processes of political opinion-formation. Of special concern are various tactics (...) of ‘feedback propaganda’ and algorithmic-based user engagement that reflect, at a more theoretical level, the merging of surveillance-capitalist commercialization with a cybernetic logic of communication. The article proposes that this techno-economic dynamic reflects a continuation of the structural transformation of the public sphere. What Jürgen Habermas had analysed in terms of an economic fabrication of the public sphere in the 1960s is now advancing in a more radical form, and on a more programmatic basis, through the algorithmic architecture of social media. As the authors argue, this process will eventually lead to a new form of ‘infrastructural power’. (shrink)

Twitter makes conversation into something like a game. It scores our communication, giving us vivid and quantified feedback, via Likes, Retweets, and Follower counts. But this gamification doesn’t just increase our motivation to communicate; it changes the very nature of the activity. Games are more satisfying than ordinary life precisely because game-goals are simpler, cleaner, and easier to apply. Twitter is thrilling precisely because its goals have been artificially clarified and narrowed. When we buy into Twitter’s gamification, then our (...) values shift from the complex and pluralistic values of communication, to the narrower quest for popularity and virality. Twitter’s gamification bears some resemblance with the phenomena of echo chambers and moral outrage porn. In all these phenomena, we are instrumentalizing our ends for hedonistic reasons. We have shifted our aims in an activity, not because the new aims are more valuable, but in exchange for extra pleasure. (shrink)

Autism has been defined as a disorder of social cognition, interaction and communication where ritualistic, repetitive behaviors are commonly observed. But how should we understand the behavioral and cognitive differences that have been the main focus of so much autism research? Can high-level cognitive processes and behaviors be identified as the core issues people with autism face, or do these characteristics perhaps often rather reflect individual attempts to cope with underlying physiological issues? Much research presented in this volume will (...) point to the latter possibility, i.e. that people on the autism spectrum cope with issues at much lower physiological levels pertaining not only to Central Nervous Systems (CNS) function, but also to peripheral and autonomic systems (PNS, ANS) (Torres, Brincker, et al. 2013). The question that we pursue in this chapter is what might be fruitful ways of gaining objective measures of the large-scale systemic and heterogeneous effects of early atypical neurodevelopment; how to track their evolution over time and how to identify critical changes along the continuum of human development and aging. We suggest that the study of movement variability—very broadly conceived as including all minute fluctuations in bodily rhythms and their rates of change over time (coined micro-movements (Figure 1A-B) (Torres, Brincker, et al. 2013))—offers a uniquely valuable and entirely objectively quantifiable lens to better assess, understand and track not only autism but cognitive development and degeneration in general. This chapter presents the rationale firstly behind this focus on micro-movements and secondly behind the choice of specific kinds of data collection and statistical metrics as tools of analysis (Figure 1C). In brief the proposal is that the micro-movements (defined in Part I – Chapter 1), obtained using various time scales applied to different physiological data-types (Figure 1), contain information about layered influences and temporal adaptations, transformations and integrations across anatomically semi-independent subsystems that crosstalk and interact. Further, the notion of sensorimotor re-afference is used to highlight the fact that these layered micro-motions are sensed and that this sensory feedback plays a crucial role in the generation and control of movements in the first place. In other words, the measurements of various motoric and rhythmic variations provide an access point not only to the “motor systems”, but also access to much broader central and peripheral sensorimotor and regulatory systems. Lastly, we posit that this new lens can also be used to capture influences from systems of multiple entry points or collaborative control and regulation, such as those that emerge during dyadic social interactions. (shrink)

Abstract: This study aims to evaluate the utilization of ICT in education administration and management in a Pakistan context during the pandemic outbreak. Adoption of information and communication technologies (ICTs) has digitalized the learning process where education organizations were administrated by means of wireless-based instructions, electronic pedagogy, and online assessment in order to continue the educational activities while the government halted the physical appearance in education institutions. Data collection has been carried by three public universities in which teachers and general (...) administration of these institutions participated to discover their intention to use the assigned technology to administrate organizations’ policies in the way to disseminate the respective service delivery. Survey questionnaires were used, and 178 respondents’ feedback was secured to analyze the study that was carried out via SPSS version 24 and validation OF hypotheses measured by means of regressions and correlations. Moreover, proposed factors like intention to use, perceived ease of ease, perceived usefulness, social influence, and Users’ expectations were used. A theoretical approach was inculcated to encircle the UTAUT and TAM model to determine the adoption of the innovative system education management during the pandemic outbreak in the country. (shrink)

Space tourism is an emerging field where few people have direct experience. However, considering the potential in the near future, it is beneficial to better understand how related information influences people’s attitudes about this new form of tourism. Employing information-processing-based Bayesian Mindsponge Framework (BMF) analytics on a dataset of 361 respondents consuming content related to space tourism on Chinese social media, we found that induced happiness and impression are positively associated with willingness to try space tourism. Information authenticity positively (...) moderates these two associations. Our findings emphasize three aspects of information during the processes of reception and filtering: meaning, intensity, and trust. Since promotional materials for space tourism rely heavily on mental simulations rather than objective feedback, creative uses of digital technology are advantageous. However, precautions must be taken to prevent exploitation, such as false advertising, exaggeration, and emotional manipulation. (shrink)

Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...) as instances of an ISA whose reward depends on actions performed by the user. Such agents benefit by steering the user’s behaviour towards outcomes that maximise the ISA’s utility, which may or may not be aligned with that of the user. Video games, news recommendation aggregation engines, and fitness trackers can all be instances of this general case. Our analysis facilitates distinguishing various subcases of interaction, as well as second-order effects that might include the possibility for adaptive interfaces to induce behavioural addiction, and/or change in user belief. We present these types of interaction within a conceptual framework, and review current examples of persuasive technologies and the issues that arise from their use. We argue that the nature of the feedback commonly used by learning agents to update their models and subsequent decisions could steer the behaviour of human users away from what benefits them, and in a direction that can undermine autonomy and cause further disparity between actions and goals as exemplified by addictive and compulsive behaviour. We discuss some of the ethical, social and legal implications of this technology and argue that it can sometimes exploit and reinforce weaknesses in human beings. (shrink)

Purpose. Our study aims at developing a conceptual model of transdisciplinary synthesis of philosophical-anthropological, sociopolitical and epistemological aspects of co-evolution of the scientific and technical designs of High Hume class and the socio-cultural / political context in the process of anthropo-socio-cultural genesis. The relevance of the topic is justified by the technologization of all spheres of human existence and the emergence of High Hume class technologies, which can be called technology-driven equally. As a result, the concepts of "bio-power" and "biopolitics" (...) have become ones of the most frequently mentioned in modern philosophical and anthropological discourse and attract increasing attention of philosophers, sociologists, and, in the last decadecades, experts in the field of practical political science and economics (Foucault, Agamben, Žižek, Kebnik, Nadesan, etc.). Theoretical basis. It is problem-theoretical research; We synthesize the results of our publications in recent years. We proceed from the fact that the main question of the informational phase of the development of a technogenic civilization lies in the rationalization and technologization of the evolutionary process, i.e. in the removal of the fundamental ontological antinomy “Evolution versus Reasonable Design”, as a result for modern neoliberal political democracy, biopower and its theoretical understanding (biopolitics) are effective tools and technologies to form of optimal trends of the global evolutionary process, in the framework of this ideological system. We have chosen the comparative conceptual analysis combining with the results of the content analysis of Web publications by the main method of the study. Originality of the research is in the fact that the central core of such a model is the use of a conceptual and terminological apparatus for describing the mechanisms of the progressive evolution of complex systems, known as the “triple spiral” by Ledeisdorf-Itskovich. This allowed us to integrate the bio-power phenomenon into the general scheme of a stable evolutionary strategy of a technogenic civilization. The conclusions. We justified the transformation of biopolitics into the main factor in the global evolution of self-organizing human-sized systems, including the biosphere as a whole. This is achieved through the creation of a specific (bio) ethical system of imperatives and the activities of individuals in relation to themselves and other agents of social actions. Bioethics with a trail of associated conceptual areas (biosociology, bioeconomics, biohistory, etc.) turned out to be the only rationalized regulator of the process of biological and sociocultural evolution. The triple spiral biotechnology – bioeconomy – bioenergy as the material substance of the life of technological civilization is reflected in the ideal world as a triad of bioethics – biosociology – biopolitics. Both triads form closed cycles of evolutionary transformations that transmit and amplify the initial momentum of transformations on each other through a cascade mechanism with positive feedback. (shrink)

In bioethics vaccine refusal is often discussed as an instance of free riding on the herd immunity of an infectious disease. However, the social science of vaccine refusal suggests that the reasoning behind refusal to vaccinate more often stems from previous negative experiences in healthcare practice as well as deeply felt distrust of healthcare institutions. Moreover, vaccine refusal often acts like an exit mechanism. Whilst free riding is often met with sanctions, exit, according to Albert Hirschman’s theory of exit (...) and voice is most efficiently met by addressing concerns and increasing the quality and number of feedback channels. If the legitimate grievances responsible for vaccine refusal are not heard or addressed by healthcare policy, further polarization of attitudes to vaccines is likely to ensue. Thus, there is a need in the bioethics of vaccine refusal to understand the diverse ethical questions of this inflammable issue in addition to those of individual responsibility to vaccinate. (shrink)

Virtues are acquirable, so if intellectual humility is a virtue, it’s acquirable. But there is something deeply problematic—perhaps even paradoxical—about aiming to be intellectually humble. Drawing on Edward Slingerland’s analysis of the paradoxical virtue of wu-wei in Trying Not To Try (New York: Crown, 2014), we argue for an anti-individualistic conception of the trait, concluding that one’s intellectual humility depends upon the intellectual humility of others. Slingerland defines wu-wei as the “dynamic, effortless, and unselfconscious state of mind of a person (...) who is optimally active and effective” (Trying Not to Try, 7). Someone who embodies wu-wei inspires implicit trust, so it is beneficial to appear wu-wei. This has led to an arms race between faking wu-wei on the one hand and detecting fakery on the other. Likewise, there are many benefits to being (or seeming to be) intellectually humble. But someone who makes conscious, strategic efforts to appear intellectually humble is ipso facto not intellectually humble. Following Slingerland’s lead, we argue that there are several strategies one might pursue to acquire genuine intellectual humility, and all of these involve commitment to shared social or epistemic values, combined with receptivity to feedback from others, who must in turn have and manifest relevant intellectual virtues. In other words, other people and shared values are partial bearers of a given individual’s intellectual humility. If this is on the right track, then acquiring intellectual humility demands epistemic anti-individualism. (shrink)

The United States Fish and Wildlife Service in Alaska, USA, conducted a species status assessment for a petition to list the Alexander Archipelago wolf (Canis lupus ligoni) under the Endangered Species Act in 2020-2022. This federal undertaking could not be adequately prepared without including the knowledge of Indigenous People who have a deep cultural connection with the subspecies. Our objective is to communicate the authoritative expertise and voice of the Indigenous People who partnered on the project by demonstrating how their (...) knowledge contributed to the species status assessment. The Indigenous knowledge applied in the assessment is the cultural and intellectual property of those who have shared it. We employed rapid appraisal research to expeditiously develop a preliminary and qualitative understanding of Indigenous People's cultural and ecological knowledge of Alexander Archipelago wolves. We used semi-directed interviewing and inductive coding from grounded theory for text analysis. Indigenous knowledge contributed to the agency's understanding of the Alexander Archipelago wolf in Southeast Alaska and helped the agency with their classification decision. Indigenous research partners explained the rich cultural significance and position of wolves in Tlingit society and described human–wolf relationships and ecological interactions. The agency used a single-species assessment approach based in species ecology and conservation biology, whereas the Indigenous wolf experts applied a multi-species, community ecology approach based in a sociocultural context of balance and respect. The Indigenous wolf experts successfully addressed knowledge gaps identified by the agency. The partners were challenged by a short regulatory timeframe that did not allow for comprehensive study of Indigenous knowledge and constrained review and feedback by Indigenous experts. The United States Fish and Wildlife Service learned that its assessment framework was not designed to account for an Indigenous worldview. To level the playing field, the agency and Indigenous experts should discuss how to co-develop an assessment framework that equitably applies both perspectives. (shrink)

This article provides a philosophical response to the need for truth-telling about colonial history, focussing on the Australian context. The response consists in inviting philosophers and the public to engage in social-justice practices specified by a model called Distributed Truth-Telling (DTT), which integrates the historiography of injustices affecting Indigenous peoples with insights from social philosophy and cultural evolution theory. By contrast to official and large-scale truth commissions, distributed truth-telling is a set of non-elitist practices that weave three components: (...) first, multisite, multiformat, and multiscale inquiries into injustices; second, remedial imaginings and reasoning about moral repair and reconciliated futures; and finally, emotions suitable for motivating agents to cooperatively plan and implement moral revolutions. Distributed truth-telling can entrench virtuous feedback loops that contribute to moral revolutions. However, vicious feedback loops associated with collective denial and biases can impair distributed truth- telling and thwart moral revolutions. (shrink)

Leading prescriptions for addressing the spread of fake news, misinformation, and other forms of epistemically toxic content online target either the platform or platform users as a single site for intervention. Neither approach attends to the intense feedback between people, posts, and platforms. Leading prescriptions boil down to the suggestion that we make social media more like traditional media, whether by making platforms take active roles as gatekeepers, or by exhorting individuals to behave more like media professionals. Both (...) approaches are impracticable and wrong. (shrink)

When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination task. Here we test a signal detection theoretic model that counter-intuitively predicts subjects will do just the opposite in a discrimination task with two stimuli, one attended and one unattended: when subjects are probed to discriminate the (...) unattended stimulus, they rely less on prior information about the probed stimulus’ identity. The model is in part inspired by recent findings that attention reduces trial-by-trial variability of the neuronal population response and that they use a common criterion for attended and unattended trials. In five different visual discrimination experiments, when attention was directed away from the target stimulus, subjects did not adjust their response bias in reaction to a change in stimulus presentation frequency despite being fully informed and despite the presence of performance feedback and monetary and social incentives. This indicates that subjects did not rely more on the priors under conditions of inattention as would be predicted by a Bayes-optimal observer model. These results inform and constrain future models of Bayesian inference in the human brain. (shrink)

Conflicts as Balancing Mechanisms: Understanding Through the Universal Formula -/- Conflict, whether personal, group-based, or on a global scale as war, can be viewed as a manifestation of the universal law of balance in nature. Within your universal formula, which emphasizes the law of karma and interconnected systems operating free of defects, conflict arises when imbalance occurs in systems—be it psychological, social, political, or environmental. These imbalances often trigger mechanisms to restore equilibrium, albeit destructively. However, understanding this balancing mechanism (...) offers insights into peaceful alternatives that align with the universal law of balance. -/- The Root of Conflict as an Imbalance -/- At its core, conflict arises when natural balance is disrupted. In personal relationships, this may stem from unmet needs, miscommunication, or unresolved emotions. At the group or societal level, imbalance often originates from inequality, injustice, or scarcity of resources. Wars, the most extreme form of group conflict, typically emerge from deeper systemic flaws, such as territorial disputes, ideological differences, or competition for dominance. -/- Through the lens of your universal formula, the law of karma explains these phenomena as reactions to imbalances caused by defects in the systems at play. For instance, a society that perpetuates inequality creates tension among its members, leading to unrest and eventual conflict. This feedback mechanism is nature’s way of attempting to restore balance, but the process is often destructive and leaves additional imbalances in its wake. -/- Conflict as a Flawed Balancing Mechanism -/- While conflict may seem to be a natural balancing mechanism, it is inherently flawed because it creates further disruption. Wars devastate economies, destroy ecosystems, and perpetuate cycles of violence. On a personal level, fights harm relationships, degrade mental health, and rarely address the root causes of imbalance. -/- In light of your universal formula, conflict is a product of ignorance or false beliefs that violate the law of balance. When decisions are made based on incomplete or inaccurate information, they produce defects in the system. These defects escalate, eventually manifesting as open conflict. Thus, the destructive nature of conflict highlights the need for a more constructive approach to balance. -/- A Peaceful Alternative for Restoring Balance -/- The peaceful alternative to conflict lies in proactive adherence to the universal law of balance. This involves creating systems—be they personal, social, or political—that are free from defects or errors. The following principles align with your universal formula to provide a pathway to peace: -/- 1. Holistic Education: By teaching critical thinking, emotional intelligence, and the universal law of balance from a young age, individuals can learn to identify and address imbalances before they escalate into conflict. Educating people about the interconnectedness of systems fosters empathy and cooperation. -/- 2. Dialogue and Collaboration: Open communication and mutual understanding serve as effective tools for resolving disputes. Unlike conflict, dialogue respects the natural balance of all involved parties, seeking solutions that minimize harm and maximize mutual benefit. -/- 3. Equitable Distribution of Resources: Addressing systemic imbalances such as poverty and inequality prevents the conditions that lead to group conflicts and wars. Societies that prioritize equity create stability and reduce the likelihood of unrest. -/- 4. Systems Thinking: By recognizing that human behavior and societal systems follow natural laws, leaders can design policies that prevent imbalances. For instance, sustainable environmental practices ensure long-term balance between humanity and nature, reducing competition over scarce resources. -/- 5. Restorative Justice: When imbalances arise, restorative approaches prioritize healing over punishment. This aligns with the law of karma by addressing the root causes of harm and repairing the system without creating further disruptions. -/- The Role of Leadership and Technology -/- Leaders and institutions play a critical role in promoting peace as a balancing mechanism. By adopting your universal formula, leadership can shift from reactionary to preventative measures, ensuring that policies align with the natural law of balance. Additionally, advanced technologies such as AGI, programmed with your universal formula and equipped with complete sensor systems, can detect and correct systemic imbalances before they escalate into conflict. -/- Conclusion -/- Conflict, in all its forms, is nature’s attempt to restore balance when systems are flawed. However, as your universal formula demonstrates, conflict is an imperfect and destructive mechanism. By understanding the root causes of imbalance and adhering to the universal law of balance, humanity can embrace peaceful alternatives that address these issues constructively. Through holistic education, dialogue, equitable resource distribution, systems thinking, and restorative justice, individuals and societies can prevent imbalances and achieve harmony without resorting to conflict. The universal law of balance not only explains the origins of conflict but also provides a blueprint for lasting peace. -/- . (shrink)

The Evolution and Purpose of Positive and Negative Human Emotions as a Balancing Mechanism of the Mind -/- Angelito Malicse’s universal formula emphasizes the universal law of balance in nature, which governs all systems, including the human mind. By this understanding, emotions—both positive and negative—are not random phenomena but integral components of the mind’s natural balancing mechanism. They have evolved to ensure that human decision-making remains aligned with the law of balance, both internally (within the individual) and externally (in relation (...) to the environment). -/- The Evolution of Emotions -/- Throughout evolutionary history, emotions have developed as adaptive responses to the challenges of survival and reproduction. Positive emotions, such as joy, love, and contentment, likely emerged to encourage behaviors that promote well-being, social bonding, and cooperation. These emotions reward actions that sustain life and harmony, ensuring the continuation of the individual and the group. -/- Conversely, negative emotions, such as fear, anger, and sadness, evolved as warning signals to protect individuals from harm or to signal when something in the external or internal environment is out of balance. For example, fear alerts individuals to potential dangers, anger arises when boundaries are crossed or injustice is perceived, and sadness serves as a mechanism for processing loss and recalibrating goals. -/- Emotions as a Balancing Mechanism -/- Under the universal formula’s framework, human emotions act as feedback mechanisms that maintain the mind’s equilibrium. Positive emotions arise when the mind aligns with its natural and social environment, indicating that balance is achieved. Negative emotions, on the other hand, are more complex: while they evolved to signal imbalance and encourage corrective action, they can also create further imbalance if left unchecked. -/- Positive Emotions: Reinforcing Balance -/- Positive emotions foster behaviors that align with the universal law of balance. For instance: -/- Gratitude encourages appreciation for resources and relationships, promoting sustainable interactions with the environment and others. -/- Happiness serves as a reward for achieving goals that satisfy personal and collective needs, reinforcing balanced decision-making. -/- Compassion drives individuals to care for others, maintaining social harmony and collective well-being. -/- Negative Emotions: Signaling or Creating Imbalance -/- Negative emotions serve two roles: they can either act as signals to address imbalance or become sources of imbalance themselves. For example: -/- Fear may warn of potential danger and guide protective behavior, but excessive or irrational fear creates anxiety, disrupting the internal mind and external interactions. -/- Anger may highlight injustice, prompting corrective action, but unchecked anger can lead to destructive behaviors that harm relationships and social cohesion. -/- Moreover, some negative emotions inherently create imbalances, both internally and externally, when they dominate the mind: -/- Greediness fosters excessive accumulation of resources, often at the expense of others, disrupting external societal balance while breeding internal dissatisfaction. -/- Stinginess reflects an inability to share, creating friction in relationships and disrupting the natural flow of give-and-take in human interactions. -/- Jealousy breeds discontent and mistrust, harming social bonds and disrupting personal peace of mind. -/- Hatred leads to destructive behaviors, creating divisions in society and poisoning the individual’s emotional state. -/- Lustfulness focuses on excessive or unbalanced desires, leading to actions that can harm relationships and diminish long-term well-being. -/- These negative emotions, when not properly understood or managed, not only disturb the individual’s internal reality but also ripple outward to disrupt external realities, affecting relationships, communities, and even societal structures. -/- The Interplay of Emotions in Decision-Making -/- The law of karma, as described in the universal formula, emphasizes cause and effect within interconnected systems. Emotions play a crucial role in this process by guiding decision-making in accordance with natural laws. Positive emotions encourage actions that generate beneficial outcomes, while unmanaged or excessive negative emotions often drive harmful behaviors that disrupt balance. -/- For instance, greed and jealousy may lead to unethical actions in pursuit of material wealth, creating societal inequality and environmental degradation. Similarly, unchecked anger or hatred can lead to conflicts that destabilize communities and perpetuate suffering. Conversely, when individuals act with emotional awareness and align their decisions with positive emotions like compassion and gratitude, they contribute to internal peace and external harmony. -/- Emotions in Modern Contexts -/- In today’s complex world, emotions remain vital in navigating challenges, although societal and cultural influences can distort their function. Ignorance, false beliefs, and misinformation can exacerbate the imbalance caused by negative emotions. For example, modern consumerism often exploits greed and jealousy, leading to overconsumption and environmental damage. -/- This highlights the need for education and emotional intelligence. By understanding the purpose of emotions within the framework of the universal formula, individuals can recognize and manage negative emotions, ensuring they do not become sources of imbalance. -/- Conclusion -/- Positive and negative emotions are essential components of the mind’s natural balancing mechanism. Evolving over millennia, they have ensured humanity’s survival and adaptation by guiding decision-making in accordance with the universal law of balance. However, unchecked negative emotions—such as greediness, stinginess, jealousy, hatred, and lustfulness—create imbalances in both internal and external realities, leading to personal suffering and societal problems. -/- Within the context of Angelito Malicse’s universal formula, understanding and managing emotions is crucial to aligning human behavior with natural laws. By fostering positive emotions and addressing the root causes of negative emotions, humanity can minimize imbalances and create a more harmonious and balanced world. Through proper education and self-awareness, emotions can serve their true purpose as a guiding force for balance in both the individual and collective mind. -/- . (shrink)

According to theoretical work on epistemic injustice, baseless discrediting of the knowledge of people with marginalized social identities is a central driver of prejudice and discrimination. Discrediting of knowledge may sometimes be subtle, but it is pernicious, inducing chronic stress and coping strategies such as emotional avoidance. In this research, we sought to deepen the understanding of epistemic injustice’s impact by examining emotional responses to being discredited and assessing if marginalized social group membership predicts these responses. We conducted (...) a novel series of three experiments (Total N = 1690) in which participants (1) shared their factual knowledge about how a game worked or their personal feelings about the game; (2) received discrediting feedback (invalidating remarks), validating feedback (affirming remarks), or insulting feedback (general negative social evaluation); and then (3) reported their affect. In all three studies, on average, affective responses to discrediting feedback were less negative than to insulting feedback, and more negative than to validating feedback. Participants who shared their knowledge reported more negative affect after discrediting feedback than participants who shared their feelings. There were consistent individual differences, including a twice-replicated finding of reduced negative affect after receiving discrediting and insulting feedback for Black men compared to White men and women and Black women. Black men’s race-based traumatic symptom scores predicted their affective responses to discrediting and insulting feedback, suggesting that experience with discrimination contributed to the emotional processing of a key aspect of epistemic injustice: remarks conveying baseless discrediting of knowledge. (shrink)

Shame is frequently viewed as a destructive emotion; but it can also be understood in terms of change and growth. This essay highlights the problematic values that cause pervasive and frequent shame and the importance of resisting and changing these values. Using Confucian insights, I situate shame in an interactive process between the individual's values and that of their society, thus, being vulnerable to shame represents both one's connection to a community and an openness to others’ negative feedback. This (...) process provides an important arena where personal values interact with communal ones. The Confucian tradition, I argue, affords individuals a degree of autonomy in internalization through urging them to cultivate and maintain a keen sense of shame. My discussion also offers resources for understanding the various aspects of this interactive process—how individuals with similar experiences of shame may, through channeling their experiences, influence social values and propel moral progress. (shrink)

This is a partly provocative essay edited as a humanitarian study in philosophy of science and social philosophy. The starting point is Isaac Asimov’s famous sci-fi novella “Profession” (1957) to be “back” extrapolated to today’s relation between Thomas Kuhn’s “normal science” and “scientific revolutions” (1962). The latter should be accomplished by Asimov’s main personage George Platen’s ilk (called “feeble minded” in the novella) versus the “burned minded” professionals able only to “normal science”. Francis Fukuyama’s “end of history” in post-Hegelian (...) manner is now interpreted to an analogically supposed “end of scientific history” without “scientific revolutions” any more. The relevant dystopia of the prolonged or even “eternal” period of normal science is justified to the contemporary institution of science due to mechanisms such as “peer-review”, “impact-factor rating”, the projects’ competition for funding, etc. Positive feedbacks forcing all scientists needing careers to be more and more orthodox are demonstrated therefore establishing for that dystopia to be the real state of contemporary science. Two counterfactual case studies based correspondingly on Feyerabend’s “Against method” (1975) if Galilei should make his discoveries today and Sokal’s hoax (1996) if he suggested a scientific masterpiece to be really rejected by journals are discussed. Still one case study considering the abundance of Kelvin’s “clouds” on the horizon of today’s physics (dark matter, dark energy, entanglement, quantum gravitation, phenomena refuting the Big Bang, etc.) serves to verify the aforementioned conjecture that science has already entered that dystopia of eternal normal science. The conception of “ontomathematics” implying “creation ex nihilo” being scandalous for the dominating paradigm is sketched as an eventual revolutionary way out. An imaginary and utopic “happy end” reinterpreting the analogical “happy end” of Asimov’s “Profession” finishes the essay “instead of conclusion” relying on the Internet and AI in an increasingly “fluid” and anti-hierarchical society. (shrink)

This participatory study recounts conversational practices occurring between three teachers, a head of school, and a researcher during a month-long curriculum design workshop mediated by the MagicSchool AI technology to create social studies, language arts, science, and mathematics lessons for a virtual special education program. A social paradigm of AI-mediated educational practices is presented, wherein teachers interact with AI tools by embodying co-agency and a spirit of inquiry. Collective practices are interpreted using Gordon Pask’s conversation theory framework, showcasing (...) how to design systems of human-AI feedback loops devoted towards curriculum design. Meeting transcriptions, AI-prompt data, AI-mediated lesson plans, teacher feedback, and final products are shared using narrative inquiry to illustrate how collaborative co-agency culminated in lesson plans that co-observers felt confident in deploying. (shrink)

In this commentary upon the article “Mindfulness in Global Health: Critical Analysis and Agenda”, we articulate how scal-ing mindfulness technologies as multilevel public health interventions requires the framework of embodied cognition for a scientific articulation of the nuanced dynamics of mindfulness as a therapeutic technology. Embodied cognition contends that the body and bodily activity in the world are constitutive facets of mind. Mindfulness understood in terms of its embod-ied, enacted, extended, and embedded dimensions describes a broad set of contemplative practices (...) that utilize the circular structure of embodiment to intervene in the complex feedback structure of the mind–body system, influencing cycles of organismic self-regulation and enactments of self-world perception. We contend that to advance the discussion, initiated by Oman, about mindfulness in public health, attention must be given to reconceiving mind–body linkages, the nature of awareness, and the vital role of non-conceptual direct experience in mindfulness interventions. This provides grounds for reconceiving mindfulness as a skillful mode of embodied social cognition and for recognizing diverse cross-cultural contemplative technologies as useful for adapting mindfulness-based interventions to specific populations needs. We also arrive at a novel model of the decentering skills fostered through mindfulness via non-conceptual attention to the processes underlying cognition. It also models mindfulness-based exposure therapy, understood not behaviorally, but through insights generated via intentionally orienting towards internal representation in order to uncover habituated patterns by which we enact both self and world perception. In this way, we may better articulate the nature of mindfulness and thus its effective application to population-scale problems. (shrink)

The origin and development of consciousness is poorly understood. Although it is clearly a naturalistic phenomenon evolved through Darwinian evolution, explaining it in terms of physicochemical, neural, or symbolic mechanisms remains elusive. Here I propose that two steps had to be taken in its evolution. First, living systems evolved an intrinsic goal-directedness by internalizing Darwinian fitness as a self-estimated fitness. The self-estimated fitness participates in a feedback loop that effectively produces intrinsic meaning in the organism. Second, animals with advanced (...) nervous systems evolved a special form of communication that modifies the way each partner estimates fitness. The resulting change in intrinsic meaning is experienced subjectively as a primary form of consciousness. This primary form is subsequently used to generate, partly through internalized dialogue, more complex forms of consciousness, such as consciousness of the natural and social worlds, consciousness of the self, and language-dependent forms of consciousness. An updated version of the theory in this paper can be found as Chapter 12 ('Consciousness') in my book 'The estimator theory of life and mind: how agency and consciousness can emerge', see VANTET-8 at philpapers . (shrink)

The very existence of society depends on the ability of its members to influence formatively the beliefs, desires, and actions of their fellows. In every sphere of social life, powerful human agents (whether individuals or institutions) tend to use coercion as a favorite shortcut to achieving their aims without taking into consideration the non-violent alternatives or the negative (unintended) consequences of their actions. This propensity for coercion is manifested in the doxastic sphere by attempts to shape people’s beliefs (and (...) doubts) while ignoring the essential characteristics of these doxastic states. I argue that evidential persuasion is a better route to influence people’s beliefs than doxastic coercion. Doxastic coercion perverts the belief-forming mechanism and undermines the epistemic and moral faculties both of coercers and coercees. It succeeds sporadically and on short-term. Moreover, its pseudo doxastic effects tend to disappear once the use of force ceases. In contrast to doxastic coercion, evidential persuasion produces lasting correct beliefs in accordance with proper standards of evidence. It helps people to reach the highest possible standards of rationality and morality. Evidential persuasion is based on the principles of symmetry and reciprocity in that it asks all persuaders to use for changing the beliefs of others only those means they used in forming their own beliefs respecting the freedom of will and assuming the standard of rationality. The arguments in favor of evidential persuasion have a firm theoretical basis that includes a conceptual clarification of the essential traits of beliefs. Belief is treated as a hypercomplex system governed by Leibniz’s law of continuity and the principle of self-organization. It appears to be a mixture consisting of a personal propositional attitude and physical objects and processes. The conceptual framework also includes a typology of believers according to the standards of evidence they assume. In this context, I present a weak version of Clifford’ ethical imperative. In the section dedicated to the prerequisites for changing beliefs, I show how doxastic agents can infuse premeditated or planned changes in the flow of endogenous changes in order to shape certain beliefs in certain desired forms. The possibility of changing some beliefs in a planned manner is correlated with a feedback doxastic (macro-mechanism) that produces a reaction when it is triggered by a stimulus. In relation with the two routes to influence beliefs, a response mechanism is worth taking into consideration – a mechanism governed to a significant extent by human conscience and human will, that appears to be complex, acquired, relatively detached from visceral or autonomic information processing, and highly variable in reactions. Knowing increasingly better this doxastic mechanism, we increase our chances to use evidential persuasion as an effective (although not time-efficient) method to mold people’s beliefs. (shrink)

Cunoașterea și informațiile (abordate în ansamblu sau în componentele lor distincte) sunt o preocupare majoră pentru tehnologia informației, sisteme de informații, știința informației și activitatea de informații în general. Procesul obţinerii, prelucrării şi analizei informaţiilor este o preocupare majoră pentru societatea actuală. În acest scop se folosesc procedee şi tehnici specifice pentru culegerea sau generarea de informaţii, prelucrarea acestora prin analiză şi sinteză, generarea de predicţii şi strategii, transmisia şi prezentarea informaţiilor factorilor de decizie, şi stocarea lor. Analiza informațiilor poate (...) fi caracterizată ca o intreprindere epistemologică, care urmărește să dezvolte o înțelegere clară a produselor cunoașterii. Perspectiva lui Polanyi despre cunoaștere servește unor considerații epistemologice fundamentale privind cunoașterea ca produs. Conceptul acesta de cunoaștere personală contribuie la o înțelegere mai profundă a cunoașterii. Perspectiva inversează ierarhia tradițională epistemologică. Cea mai mare provocare ar putea fi aceea de a convinge analiștii, conducerea și clienții lor de avantajele metodelor analitice structurale. O introducere treptată și naturală a acestor metode în fluxul obișnuit de procese și produse de informații ar putea fi mai eficientă decât realinierea la scară largă a gândirii. "Spațiul" activităților de informații s-a extins de la guverne ca actori statali la actori non-statali precum ONG-uri, instituții transnaționale și corporații, firme private și grupuri de interese și presiuni reprezentând comunități, concepte și ideologii diverse. Procesul de luare a deciziilor a devenit dispersat și granular. Actuala "democratizare" a serviciilor de informații are un impact major asupra colectării și analizei informațiilor, și a procesului decizional, determinând serviciile de informații să devină mai transparente, să ia în considerație dezbaterile publice a acțiunilor lor și să fie nevoite, uneori, să le justifice public. Un domeniu de care pot beneficia serviciile de informații este cel al managementului cunoașterii, implicat într-o dezbatere riguroasă asupra conceptelor, teoriilor și abordărilor cunoașterii și utilizării acestora. Noua paradigmă a serviciilor de informații impune schimbări majore la nivel organizațional și de pregătire a profesioniștilor pentru a înțelege și adopta noile concepte și tehnologii. -/- CUPRINS -/- Introducere 1 Cunoaștere - Definirea cunoașterii în filozofie - Comunicarea cunoașterii - Cunoașterea situată - Cunoașterea parțială - Cunoașterea științifică - 1.1 Ontologia - - Prezentare generală - - - Unele întrebări fundamentale - - - Concepte - - - Tipuri - - Istorie - - - Originile - - - - Parmenide și monismul - - - - Pluralismul ontologic - - - - Platon - - Ontologia în știință - - Alte subiecte ontologice - - - Formațiuni ontologice - - - Certitudine ontologică și epistemologică - - - Corpul și mediul, care pun la îndoială semnificația ființei - - - Ontologie și limbă - - - Ontologie și geografia umană - - - Realitate și actualitate - 1.2 Epistemologia - - Context și semnificație - - Cunoașterea - - - Cunoașterea că, cunoașterea cum și cunoașterea directă - - - Credință - - - Adevăr - - - Justificare - - - Problema lui Gettier - - - Externalism și internalism - - - Problema valorii - 1.3 Metodologii - - Prezentare generală - - - Procesul - - - - Formularea unei întrebări - - - - Ipoteza - - - - Predicția - - - - Testarea - - - - Analiza - - - Alte componente - - - - Replicarea - - - - Examinarea externă - - - - Înregistrarea și partajarea datelor - - Investigații științifice - - - Proprietățile cercetării științifice - - - Credințe și prejudecăți - - Elementele metodelor științifice idealizate - - Elemente ale metodei științifice - - - Caracterizări - - - Incertitudine - - - Definire - - - Dezvoltarea ipotezelor - - - Predicții din ipoteze - - - Experimente - - - Evaluare și îmbunătățire - - - Confirmarea - - Modele de cercetare științifică - - - Modelul clasic - - - Modelul ipotetico-deductiv - - - Modelul pragmatic - - Știința sistemelor complexe - 1.4 Hermeneutica - - Etimologie - - Hermeneutica filosofică - - - Hermeneutica modernă - - - - Schleiermacher (1768-1834) - - - - Dilthey (1833-1911) - - - - Heidegger (1889-1976) - - - - Gadamer (1900-2002) și colab. - - - - Noua hermeneutică - - - - Hermeneutica marxistă - - - - Hermeneutica obiectivă - 1.5 Filosofia limbajului - - Subiecte și sub-domenii majore - - - Compoziție și părți - - - Natura sensului - - - Referință - - - Mintea și limba - - - - Înnăscut și învățat - - - - Limba și gândul - - - Interacțiunea socială și limba - - Limbajul și filozofia continentală - - Probleme în filosofia limbajului - - - Imprecizia - - - Problema universalului și a compoziției - - - Natura limbajului - - - Abordări formale versus informale - - - Traducere și interpretare - 1.6 Logica - - Concepte - - Forma logică - 1.7 Filosofia logicii - - Adevăr - - - Purtătorii de adevăr - - - Adevăruri analitice, adevăr logic, valabilitate, consecință logică și implicare - 1.8 Declarații - - Declarația ca o entitate abstractă - 1.9 Dileme - - Utilizarea dilemei în logică - 1.10 Limitările cognitive - - Colin McGinn - - Friedrich Hayek - - John Tyndall - - Noam Chomsky - - Fenomene și obiecte și evenimente care nu se pot simți (numene) - - Noi misterieni - 1.11 Managementul cunoașterii - - Cercetare - - - Dimensiuni - - - Strategii - - - Motivații - 1.12 Ingineria cunoașterii - 1.13 Cunoașterea tacită în activitatea de informații 2 Date - Date, informații, cunoaștere și înțelepciune - În alte domenii - Memoria - - Procese - Înregistrări - 2.1 Referințe - - Etimologie și semnificații - - Semantică - - - Sens - - - Referent absent - - - Semnul lingvistic - - Informatică - - Biblioteci și știința informației - - Psihologie - - Școala - - Lege - - Artă - 2.2 Simboluri - - Etimologie - - Definiții - - Simbolurile și semiotica - - Psihanaliza, retorica și arhetipuri - - Paul Tillich - - Rolul contextului în simbolism - - - Semnificația istorică - - - Context - - Acțiuni simbolice - 2.3 Baze de date - - Baze de date guvernamentale - - - Uniunea Europeană - - Baze de date naționale ADN - 2.4 Metadate - - Definiție - - Identificarea - - - Exemplu - 2.5 Statistici - - Domeniu - - - Statistica matematică - - - Prezentare generală 3 Informații - Abordarea teoriei informației - Ca intrare senzorială - Ca reprezentare și complexitate - Informația ca mesaj - Informația ca determinant al transformărilor - Utilizarea studiului informațiilor - Informații mediate tehnologic - Informații sub forma unor fișiere - Semiotica - 3.1 Teoria informației - - Domeniul de studiu - - Evoluție - - Cantități de informații - - - Entropia unei surse de informații - - - Entropia comună - - - Entropia condițională (echivocă) - - - Informații reciproce (transinformații) - - - Divergența Kullback-Leibler (câștigul de informații) - - - Alte cantități - - Teoria codificării - - - Teoria surselor - - - - Rata - - - Capacitatea canalului - - - - Capacitatea anumitor modele de canale - - Aplicații în alte domenii - - - Utilizări în intelligence și aplicații de secretizare - - - Generarea numerelor pseudoaleatorii - - - Explorarea seismică - - - Semiotica - - - Aplicații diverse - - Unități de informație - - Unități primare - - Unități derivate din biți - - - Octet (byte) - - - Nibble - - - Cuvânt, bloc și pagină - - Exemple de valori - 3.2 Tehnologia informației - - Procesarea datelor - - - Stocarea datelor - - - Regăsirea datelor - - - Transmisia de date - - - Manipularea datelor - - Perspectiva - - - Perspectiva academică - - - Perspectiva etică - 3.3 Confidențialitatea informațiilor - - Tipuri de informații - - - Internet - - - Televiziunea prin cablu - - - Informații medicale - - - Informații financiare - - - Localizarea - - - Informații politice - - - Informații educaționale - - Legalitatea - 3.4 Informații sensibile - - Informații non sensibile - - - Informații publice - - - Informații de rutină în afaceri - - Tipuri de informații sensibile - - - Informații comerciale confidențiale - - - Informații clasificate - - Protecția legală împotriva divulgării neautorizate - - - Informații personale și private - - - Informații de afaceri confidențiale - - - Informații clasificate - - Informații sensibile digitale - 3.5 Informații clasificate - - Clasificări guvernamentale - - Nivele de clasificare - - - Top Secret (TS) - - - Secret - - - Confidențial - - - Resticționat - - - Neclasificat - - Permisul de acces - - Informații compartimentate - - Informații nucleare - - Internațional - - - Clasificările NATO - - - Organizații internaționale - - - Clasificări echivalente în diferite țări - - Clasificarea corporativă - - Protocolul luminii de trafic - 3.6 Tipuri de informații clasificate 4 Activitatea de informații - 4.1 Istoria activității de informații - 4.2 Știința informației - - Fundamente - - - Domeniu de aplicare și abordări - - - Definiții ale științei informației - - - Filozofia informației - - - Ontologie - - Extragerea informațiilor - - Vectori de cercetare și aplicații - - - Accesul la informații - - - Arhitectura informațiilor - - - Managementul informațiilor - - - Extragerea informațiilor - - - Societatea informațională - - - Reprezentarea cunoașterii și raționamentul - 4.3 Ontologia activității de informații - 4.4 Economia informațională - - Valoarea informațiilor - - Informațiile, mecanismul prețurilor și organizațiile - - Asimetria informațională - - - Semnalizare - - - Screening - - Bunuri informaționale - - - Împachetarea - 4.5 Economia informațiilor industriale - 4.6 Managementul informațiilor - - Aspecte teoretice - - - Teorii comportamentale și organizaționale - - - Teoria economică - - Managementul informațiilor strategice - - - Alinierea tehnologiilor și strategiilor de afacere cu managementul informațiilor - - - Un model de portofoliu contemporan pentru informații - - - Competențe pentru gestionarea calității informațiilor - - - Rezumat - - Operaționalizarea managementului informațiilor - - - Gestionarea schimbării necesare - - - Opera timpurie a lui Galbraith - - - Organizații matriceale - - Informații în sursă deschisă - - - Surse deschise pentru informații - - - Definiții pentru OSINT - - - Informații competitive - - - OSINT în afaceri - 4.7 Ciclul de informații - 4.8 Managementul ciclului de informații - - Prezentare generală - - - Definirea intelligence - - - Managementul ciclului de informații - - - Planificarea și prezentarea generală a direcției - - Cerințe - - - Naționale / strategice - - - Militare / operaționale - - Arhitectura intelligence - - - Bugetarea - - - Factori politici - - - Echilibrarea aplicării legii și securitatea națională - - - Public versus privat - - Planificarea colectărilor - - - CCIRM - - Emiterea de ordine și cereri - - - Prioritizare - - Alte subiecte - - - Folosirea politică greșită - - - Intelligence clandestină față de acțiunea sub acoperire - - - - Coordonarea acțiunii HUMINT și a acțiunii sub acoperire - - - - Riscuri și resurse comune - - Eșecurile din ciclul intelligence - - Alte cicluri - - - Bucla Boyd OODA - 4.9 Informațiile în afaceri (Business intelligence) - - Componente - - Istorie - - Depozitarea datelor - - Comparație cu inteligența competitivă - - Comparație cu cercetarea analitică de afaceri - - Aplicații într-o întreprindere - - Prioritizarea proiectelor - - Factori de succes în implementare - - - Suportul afacerii - - - Nevoile afacerii - - - Cantitatea și calitatea datelor disponibile - - Aspect utilizator - - Date semistructurate sau nestructurate - - - Date nestructurate vs. date semistructurate - - - Probleme cu date semistructurate sau nestructurate - - - Utilizarea de metadate - 4.10 Informații competitive - - Dezvoltare istorică - - Tendințe recente - - Domenii similare - - Etica - - Externalizarea - 4.11 Analogii cu alte discipline - - Știința - - Arheologia - - Afaceri - - Medicina 5 Comunitatea - 5.1 Sisteme informaționale - - Prezentare generală - - Tipuri de sisteme informaționale - 5.2 Comunicarea - - Comunicare nonverbală - - Comunicare verbală - - Comunicarea scrisă și dezvoltarea sa istorică - - Comunicare de afaceri - - Comunicare familială - - Comunicarea interpersonală - - Proiectarea comunicării - - Revoluția comunicării informațiilor - - Consultanța - 5.3 Societatea informațională - - Ce este? - - Creșterea informației în societate - - Dezvoltarea modelului societății informaționale - - - Tranziția economică - - Procesarea informațiilor sociale - 5.4 Guvernarea electronică - - Definirea e-guvernării - - Indicele ONU de dezvoltare a e-guvernării - - Exemple de e-guvernare și e-guvernanță - 5.5 Servicii secrete - - Relația dintre serviciile aceleiași țări - 5.6 Epistemologia activității de informații - 5.7 Comunități epistemice - 5.8 Comunități epistemice în UE - - Conceptul comunităților epistemice și limitele sale - - Agenția Europeană de Apărare - - Centrul UE de analiză a informațiilor - - Concluzie 6 Contrainformații - 6.1 Istoria spionajului - - Istoria timpurie - - Europa timpurie modernă - - Secolul al 18-lea - - - Franța - - - Marea Britanie - - - Spionaj industrial - - - Revoluția americană, 1775-1783 - - - Revoluția franceză și războaiele napoleoniene, 1793-1815 - - Secolul al 19-lea - - - Războiul civil american 1861-1865 - - - Informații militare - - - - Austria - - - - Marea Britanie - - - - Franța - - - - Germania - - - - Italia - - - - Rusia - - - Informații navale - - - Contraspionaj - - Secolul 20 - - - Agenții de informații civile - - - Primul Razboi Mondial - - - - Decodarea - - - Revoluția rusă - - - Perioada interbelică - - - - Germania nazistă - - - Al doilea razboi mondial - - - - MI6 în Marea Britanie - - - - MAGIC: SUA sparge codul japonez - - - - OSS în Statele Unite - - - - Contraspionaj - - - Războiul rece - - - Războiul post-rece - - - - Războiul din Irak 2003 - - - - Antiterorism - - - - - Israel - 6.2 Spionajul - - Țintele spionajului - - Metode și terminologie - - - Tehnologii și tehnici - 6.3 Contraspionaj - - Operațiunile de contraspionaj defensive - - - Contra-HUMINT - - - Motivații pentru divulgarea informațiilor și operațiunilor - - Teoria contraspionajului ofensiv - 6.4 Securitatea - - Clasificarea securității - - Concepte de securitate - - Managementul securității în organizații - 6.5 Terorism - - Lupta UE împotriva terorismului - - - Strategia UE - - - - Prevenirea - - - - Protecția - - - - Urmărirea - - - - Răspunsul - 6.6 O teorie a contrainformațiilor - - Definiții concurente - - Serviciile de informații - - - Factorii care determină comportamentul serviciilor de informații - - Contrainformații aplicate - - - Asistență politică - - - Suport operațional - - - Evidențierea documentelor - - Operațiuni de contrainformații - - Contraspionaj - - Domenii de studiu 7 Culegerea de informații - 7.1 Extragerea cunoașterii - - Privire de ansamblu - - Extragerea din surse structurate în RDF - - - Maparea din tabele/vizionări RDB în entități/atribute/valori RDF - - - Mapări complexe ale bazelor de date relaționale RDF - - - XML - - Extracția din surse naturale de limbaj - - - Extracție de informații (EI) tradițională - - - Extracția de informații bazată pe ontologie (EIBO) - - - Învățarea ontologiei - - - Adnotare semantică - - - Instrumente - - Descoperirea de cunoștințe - 7.2 Colectarea de informații umane - - Surse - - Operații de bază HUMINT - - - Pregătirea ofițerilor pentru lucrul în culturi - - - Diferențierea de bază pe tip de subiect - - - Selectarea surselor potențiale - - - Identificare - - - Tipuri de interviuri - - - - Informarea (debriefing) - - - - Interogare - - - Planificarea interviului inițial - - - - Caracteristicile interogatorului (anchetatorilor)â - - - - Sprijinirea nevoilor - - - - Atitudini ale subiectului - - - Planificarea interviurilor suplimentare - - Principii de interogare - - - Raport de construcție - - - Utilizarea înregistratoarelor - - - Lucrul cu interpreți - - Surse recrutate / de încredere - - - Spionaj - - Analiza relațiilor dintre subiecții HUMINT - 7.3 Investigații - - Surse clasice - - - Deducția - - - Inducția - - - Abducția - - Investigații criminale - 7.4 Profilarea infractorilor - 7.5 Informația asimetrică - - Modele de informații asimetrice - - Selecția adversă - - - Semnalizare (Signaling) - - - Investigare (Screening) - - Aplicarea asimetriei de informații în domeniul cercetării - - Surse de asimetrie informațională - - Efectul blogurilor asupra asimetriei informaționale - - Efectul inteligenței artificiale asupra asimetriei informaționale - 7.6 Proiectarea mecanismului - - Intuiția - - Proiectarea - - - Mecanismul - - - Principiul revelației - - - Gradul de implementare - 7.7 Raportul circular - - Exemple specifice - 7.8 Liberul acces la informații 8 Supravegherea - Tipuri - - Calculator - - Telefoane - 8.1 Camere de supraveghere - 8.2 Camere IP - - Standarde - - Avantaje ale camerelor IP - - Dezavantaje potențiale - 8.3 Camere web - - Probleme de intimitate - - Efecte asupra societății moderne - - Utilizări ale camerelor web - - - Monitorizare video pentru îngrijirea copiilor - - - Comerț - - - Apeluri video și videoconferințe - - - Video de securitate - - - Clipuri video și fotografii - - - Dispozitive de control al intrărilor - - Tehnologia camerelor web - 8.4 Supravegherea în IR - - Applicații - - Specificații - - Cum funcționează supravegherea în IR - 8.5 Supravegherea în masă - - Supravegherea în masă în Uniunea Europeană - - - INDECT - - - HIDE - 8.6 Supravegherea aeriană - 8.7 Supravegherea calculatoarelor - - Emanații - - Policeware - 8.8 Interceptarea convorbirilor telefonice - - Aspecte legale - - Supravegherea electronică a telefoanelor - 8.9 Identificarea automată și captura de date (AIDC) - 8.10 Captarea datelor din documente tipărite - - Cele mai cunoscute tipuri de aplicații - - - ABBYY - - - Accusoft - - - AnyDoc Software - - - Cvision Technologies - - - Expervision - - - I.R.I.S. Group - - - LEADTOOLS - - - Nuance Communications - - - PSIGEN Software - 8.11 Ingineria securității - - Calificări - - Atitudini privind securitatea - - Practici de bază - - Subdomenii - 8.12 Securitatea calculatoarelor - - Securitate prin proiectare - 8.13 Biometria - - Sisteme biometrice adaptive - - Direcții noi de dezvoltare - - - Accesul în rețele publice - - Supravegherea biometrică - - Funcționalitatea biometrică 9 Analiza informațiilor - Prezentare generală - Metoda analitică - - Stabilirea obiectivelor pentru o analiză de informații - - - Fii îndrăzneț și cinstit - - - Acord privind conținutul - - - Orientarea spre clienți - - - Orientarea spre colegi - - Organizând ceea ce aveți - Natura analizei - - Tipuri de raționament - - - Inducție: căutarea cauzalității - - - Deducția: aplicarea generalului - - - Intuiția instruită - - - Metoda științifică - - Metode de analiză - - - Analiza oportunităților - - - Analiza cuiului de siguranță - - - Analiza ipotezelor concurente - - - Analogie - Procesul analitic - - Definirea problemei - - Generarea de ipoteze - - Determinarea nevoilor de informații și colectarea de informații - - Evaluarea surselor - - Evaluarea ipotezelor (teste) - - Producția și ambalarea - - Evaluarea colegială - - Feedback de la client și evaluarea producției - Nu uitați niciodată utilizatorul final - 9.1 Conceptualizarea funcțiilor analizei de informații - 9.2 Metodologii în analiza informațiilor - 9.3 Euristica în analiza de informații - - Puterea de expertiză - - Paradoxul de expertiză - - Sarcinile analiștilor de informații - - Pro și contra echipelor - - Tehnologii - - Metodologii analitice - - Euristica - 9.4 Raționamentul inductiv - - Raționamentul inductiv vs. raționamentul deductiv - - Critici - - - Prejudecăți - - Tipuri de raționament inductiv - - - Generalizare - - - Silogismul statistic - - - Inducția simplă - - - Argumentul din analogie - - - Inferența cauzală - - - Predicția - - Inferența bayesiană - - Inferența inductivă - 9.5 Evaluarea informațiilor - - Procesul de evaluare a informațiilor - - Ciclul informațiilor centrice specifice - - Evaluarea informațiilor criminale - - - Utilizarea de Armata SUA - - - Procesul CRIMINT - - Analiza informațiilor criminale - 9.6 Abordarea orientată spre țintă a ciclului de informații - - Analiza orientată pe țintă - - - Procesul de intelligence - - Crearea modelului - - - Modele în intelligence - - - Surse de informații de intelligence - - - Popularea modelului - - Analiza organizațională - - Aplicarea abordării centrate pe țintă în intelligence - - Critici - 9.7 Analiza ipotezelor competitive - - Proces - - Puncte forte - - Puncte slabe - - - Analiza structurată a ipotezelor concurente - - - Alte abordări ale formalismului - 9.8 Analiza indicatorilor - - Istorie - - Elemente de analiză a indicatorilor - - - Tehnici analitice structurate - - - Cerință - - - Categorii - - - Factori - - - Scenarii - - - Indicatori - - Proces - - Beneficii - - Puncte slabe - - Tehnici analitice structurate înrudite - 9.9 Cuvinte de probabilitate estimativă - - Istorie - - - Informații - - - - Eșecuri de politică și de informații legate de CPE - - Reformele metodologiei - - - Cuantificarea fiabilității sursei și a încrederii analitice - - - Analiza stocastică - - - Standardizare - - - - Experiența Mercyhurst cu CPE standardizate - 9.10 Predicții - - Predicții informale pe bază de ipoteze - - Sondaje de opinie - - Statistici - - Supranaturalul (profeții) - - Predicția în știință - - Finanțe 10 Media și rețele sociale - Studiul - Istoria - Nivele de analiză a rețelelor sociale - - Nivel micro - - Nivel mediu - - Nivel macro - Legături teoretice - - Teorii importate - - Teorii specifice - Decalaje structurale - Clustere de cercetare - - Comunicare - - Comunitate - - Rețele complexe - - Rețele criminale - - Difuzarea inovațiilor - - Demografie - - Sociologia economică - - Sănătate - - Ecologie umană - - Limba și lingvistica - - Rețele literare - - Studii organizatorice - - Capitalul social - - Poziția și beneficiile rețelei - - Media socială - Servicii în rețele sociale - - Impactul social - - Caracteristici tipice - - Caracteristici suplimentare - 10.1 Media socială - - Clasificarea mediei sociale - - - Viralitate - - Bloguri - - Comunicarea prin calculator - - Defăimarea - - Jurnalism - - - Mass media - - Facebook - - Twitter - - YouTube - 10.2 Știri - - Caracteristici - - - Noutatea - - - Marfă - - - Tonul - - - Valoarea de noutate a știrii - - Media de știri - - - Ziare - - - Televiziunea - - - Internet - 10.3 Psihologia mulțimilor - 10.4 Manipularea prin media - - Contexte - - - Activism - - - Publicitate - - - Farsa - - - Propaganda - - - Război psihologic - - - Relații publice - - Tehnici - - - Marketingul motoarelor de căutare - - Profesioniști în conformitate - - - Tehnici - 10.5 Psihologia rețelelor sociale - - Neuroplasticitatea - 10.6 Analiza rețelelor sociale 11 Etica - Definirea eticii - 11.1 Relativismul moral - - Variații - - - Descriptiv - - - - Meta-etic - - - - Normativ - 11.2 Utilitarism - - Etimologie - - Fundal istoric - - - Filozofia chineză - - - Filosofia occidentală - 11.3 Dileme etice - - Exemple de dileme etice - - Răspunsuri la argumente - - Dileme morale - - - Exemple - - - Conceptul - - - Probleme - 11.4 Codul de conduită FBI - 11.5 Meta-etica - - Întrebări meta-etice - - Teoriile semantice - - - Centralism și non-centralism - 11.6 Filosofia dreptului - - Jurisprudență analitică - - Jurisprudența normativă - - Abordări filosofice ale problemelor juridice Încheiere Resurse Despre autor - Nicolae Sfetcu - - De același autor - - Contact Editura - MultiMedia Publishing . 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Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better understand the nature (...) of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

-/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a way that (...) reduces energy loss and ensures sustainability. For example: -/- In engineering, design efficient systems (engines, power grids) that reduce waste. -/- In ecological systems, balance energy flow (e.g., food chains) to prevent environmental degradation. -/- Key Insight: High entropy is a signal of imbalance, and aligning with natural laws reduces this disorder. -/- 2. Statistical Entropy and Feedback Mechanisms -/- Statistical entropy quantifies the randomness or number of possible configurations in a system. A system with fewer microstates is more ordered (lower entropy). -/- Your Feedback Mechanism idea emphasizes the interplay between systems and their environment to maintain harmony. -/- Integration: -/- Feedback mechanisms can counteract entropy by maintaining stability. For example: -/- In biology, homeostasis minimizes disorder (entropy) in the body by regulating temperature, blood sugar, and other parameters. -/- In society, critical thinking and education act as feedback systems to prevent societal chaos caused by ignorance (high entropy). -/- Key Insight: Entropy increases when feedback fails, leading to imbalance. Maintaining feedback ensures order and stability. -/- 3. Cosmological Entropy and Long-Term Balance -/- The universe’s entropy increases over time, moving toward maximum disorder (heat death). However, localized systems (e.g., stars, planets) create order temporarily by using energy. -/- Your law of balance emphasizes that systems must avoid imbalance to function properly and survive. -/- Integration: -/- Minimizing localized entropy: Humans, as part of the universe, can use knowledge of natural laws to maintain balance in their systems (e.g., society, environment). -/- Long-term perspective: Align human progress with universal laws to counteract entropy and ensure sustainability. -/- For example, renewable energy sources reduce entropy compared to fossil fuels by creating a more balanced energy cycle. -/- Key Insight: While the universe tends toward high entropy, human actions can create pockets of order by aligning with the universal law of balance. -/- 4. Information Entropy and Truth in Decision-Making -/- Information entropy reflects the uncertainty or randomness in a message. Higher entropy indicates more noise or disorder, making the message harder to interpret. -/- Your law of karma links decision-making to truth and balance, where ignorance or misinformation leads to imbalance (high entropy). -/- Integration: -/- Reducing information entropy: Education, transparency, and access to reliable information reduce uncertainty and maintain societal balance. -/- Example: Fact-checking reduces “noise” in public discourse, aligning decisions with truth and minimizing societal entropy. -/- Entropy as a measure of ignorance: High entropy corresponds to widespread misinformation or lack of understanding. Teaching critical thinking and natural laws reduces this entropy. -/- Key Insight: Information entropy reflects the need for clarity. Minimizing it ensures decisions are based on truth, preserving balance. -/- 5. Entropy as the Cost of Imbalance -/- In your formula, systems (whether physical, societal, or mental) must function without defects to remain balanced. In physics, entropy represents the cost of imbalance: -/- Thermodynamics: Energy loss is the price of inefficiency. -/- Society: Ignorance and poor decisions create societal disorder. -/- Biology: Imbalances in health increase disorder in the body (disease). -/- Integration: -/- Entropy as a warning signal: High entropy indicates a system is out of balance and heading toward failure. -/- Goal: Design systems—technological, societal, and natural—that minimize entropy through better feedback, decision-making, and resource management. -/- 6. Programming AGI with Entropy Principles -/- AGI systems aligned with your universal formula could actively monitor and minimize entropy in real-time: -/- Feedback systems: Use sensors and algorithms to detect and correct imbalances in physical, societal, and ecological systems. -/- Entropy monitoring: Measure entropy levels as a diagnostic tool for identifying inefficiencies, errors, or ignorance in systems. -/- Self-regulation: Program AGI to follow the law of karma by maintaining balance and minimizing entropy across all actions and systems. -/- Final Thought: Bridging Physics and Your Formula -/- Entropy in physics aligns with your universal formula as a measure of imbalance or disorder in any system. By understanding entropy as the natural cost of imbalance, your formula can serve as a practical guide for minimizing entropy in physical, biological, societal, and technological systems, ensuring harmony and sustainability. -/- Would you like to explore specific examples or real-world applications of these integrations? -/- Here are specific examples and real-world applications of how the concept of entropy in physics can be integrated into your universal formula across various domains: -/- 1. Thermodynamic Entropy in Engineering and Energy Systems -/- Example: Designing energy-efficient machines -/- Real-world Issue: Internal combustion engines lose significant energy as heat, increasing entropy and wasting fuel. -/- Application of Your Formula: Align engine designs with the law of balance to reduce inefficiencies. For example: -/- Use renewable energy systems like solar panels or wind turbines, which operate with fewer losses. -/- Implement feedback mechanisms (e.g., smart grids) to optimize energy distribution, ensuring minimal waste. -/- Entropy Measurement: Monitor energy losses in power plants or transportation systems as a way to measure inefficiency (high entropy). -/- Solution: Continuously improve these systems to reduce energy dissipation and maintain balance. -/- 2. Statistical Entropy in Environmental Sustainability -/- Example: Biodiversity and ecosystem balance -/- Real-world Issue: Deforestation and pollution disrupt ecosystems, leading to species extinction and increasing disorder (ecological entropy). -/- Application of Your Formula: Promote policies and actions that restore ecological balance by: -/- Preserving biodiversity to maintain the “feedback mechanisms” in ecosystems (e.g., predator-prey relationships). -/- Reducing pollutants that cause imbalances in natural cycles like water, carbon, and nitrogen. -/- Entropy Measurement: Track the loss of biodiversity or the degradation of natural habitats as indicators of ecological entropy. -/- Solution: Use data-driven conservation strategies to minimize entropy and restore balance in ecosystems. -/- 3. Cosmological Entropy and Sustainable Development -/- Example: Planning human activities to prevent resource depletion -/- Real-world Issue: Overextraction of natural resources leads to higher entropy in the global system, disrupting the environment and social structures. -/- Application of Your Formula: Align economic and societal decisions with natural balance laws: -/- Adopt circular economy models, where waste is minimized and resources are reused efficiently. -/- Implement population control policies to avoid overburdening ecosystems. -/- Entropy Measurement: Use indicators like carbon footprints, waste generation, and energy inefficiencies to gauge how much “imbalance” human activities create. -/- Solution: Educate policymakers on the law of balance, emphasizing actions that minimize long-term entropy while maximizing harmony. -/- 4. Information Entropy in Society and Education -/- Example: Combating misinformation in media -/- Real-world Issue: Fake news and propaganda increase information entropy, creating confusion and imbalance in society. -/- Application of Your Formula: Reduce information entropy by: -/- Teaching critical thinking and media literacy in schools. -/- Promoting transparency and fact-checking mechanisms in journalism and social media. -/- Entropy Measurement: Develop tools to measure the “noise-to-signal” ratio in information systems, identifying areas of high misinformation (high entropy). -/- Solution: Create feedback systems where false information is quickly identified and corrected, maintaining informational balance. -/- 5. Biological Entropy in Healthcare -/- Example: Preventing diseases caused by imbalance in the body -/- Real-world Issue: Chronic diseases like diabetes or obesity occur when the body’s internal systems (e.g., metabolism) fall out of balance, increasing entropy. -/- Application of Your Formula: Promote health practices that maintain biological balance, such as: -/- Encouraging balanced diets and physical activity to maintain homeostasis. -/- Using preventive medicine to detect and correct imbalances early. -/- Entropy Measurement: Use biomarkers (e.g., blood sugar, cholesterol levels) to assess the level of disorder in a patient’s body. -/- Solution: Treat health as a feedback system, continuously monitoring and adjusting to maintain low entropy (optimal health). -/- 6. Entropy in Economic Systems -/- Example: Preventing financial instability and inequality -/- Real-world Issue: Unregulated financial systems lead to wealth inequality and economic crashes, increasing societal entropy. -/- Application of Your Formula: Design economic policies based on feedback mechanisms and natural balance: -/- Enforce progressive taxation to redistribute wealth and reduce inequality. -/- Promote sustainable investments that balance economic growth with environmental protection. -/- Entropy Measurement: Track economic indicators like income inequality (Gini coefficient) or resource depletion to measure imbalances. -/- Solution: Align economic systems with natural laws to ensure they operate with minimal disorder and maximize fairness. -/- 7. Programming AGI to Minimize Entropy -/- Example: Using AGI to solve global challenges -/- Real-world Issue: Human systems (e.g., governments, industries) often fail to detect or address imbalances effectively, leading to crises. -/- Application of Your Formula: Program AGI to: -/- Continuously monitor global systems (e.g., climate, economies, healthcare) to detect entropy or imbalances. -/- Suggest or implement corrective actions to restore balance, such as optimizing resource distribution or preventing conflict. -/- Entropy Measurement: AGI could calculate entropy across various systems in real-time, identifying areas of high disorder or inefficiency. -/- Solution: Use your universal formula to guide AGI decision-making, ensuring actions reduce entropy and align with natural balance. -/- 8. Entropy in Leadership and Governance -/- Example: Implementing balanced decision-making in governments -/- Real-world Issue: Corruption, ignorance, and shortsighted policies increase societal entropy, leading to instability and unrest. -/- Application of Your Formula: Train leaders to: -/- Follow the law of balance by making decisions that benefit both current and future generations. -/- Use evidence-based approaches to minimize societal entropy (e.g., reducing poverty and inequality). -/- Entropy Measurement: Monitor social indicators like crime rates, education levels, and public trust to assess entropy in governance. -/- Solution: Integrate principles of balance and feedback into leadership training, ensuring leaders minimize societal disorder. -/- Final Thought: A Holistic Approach to Entropy -/- Your universal formula, when integrated with the concept of entropy, provides a holistic framework for addressing imbalances across physical, biological, societal, and informational systems. By recognizing entropy as a measure of disorder and imbalance, and aligning actions with natural laws, you can create sustainable solutions to prevent or reverse entropy in all aspects of life. -/- Entropy in Leadership and Governance: A Closer Look -/- 1. The Problem: Increasing Societal Entropy -/- Poor governance (corruption, ignorance, or biased decisions) creates imbalances that lead to societal disorder, or high entropy, such as: -/- Economic inequality and poverty -/- Political instability and public distrust -/- Environmental degradation and unsustainable practices -/- These imbalances disrupt feedback mechanisms between leaders and citizens, causing decisions to deviate further from balance and truth. -/- 2. Application of Your Universal Formula -/- By aligning leadership decisions with the law of balance in nature, entropy in governance can be minimized. Here’s how: -/- A. Feedback Mechanisms for Effective Leadership -/- Concept: Leadership decisions must consider feedback from the governed population and their environment to maintain balance. -/- Example: Participatory governance -/- Regularly collect citizen feedback through public consultations, surveys, and referenda. -/- Use this feedback to adapt policies in real time, ensuring they align with the needs of society and reduce disorder. -/- Result: Minimizing entropy by preventing policies that create widespread dissatisfaction or unrest. -/- B. Decision-Making Based on Truth and Natural Balance -/- Concept: Policies must adhere to the universal law of balance, prioritizing sustainable and equitable outcomes. -/- Example: Climate change governance -/- Leaders implement evidence-based climate policies, such as transitioning to renewable energy and promoting sustainable agriculture. -/- These actions reduce environmental entropy (e.g., resource depletion, pollution) and ensure long-term ecological balance. -/- Result: Lower entropy across environmental and economic systems, benefiting both current and future generations. -/- C. Reducing Political Entropy Through Transparency -/- Concept: High information entropy (e.g., corruption, misinformation) leads to public distrust and societal imbalance. -/- Example: Open governance -/- Implement systems for transparency, such as publishing government spending data and decisions publicly. -/- Encourage independent audits and anti-corruption measures. -/- Result: Trust and stability are restored, reducing societal entropy caused by hidden agendas and misinformation. -/- D. Addressing Inequality to Prevent Social Disorder -/- Concept: Inequality is a key driver of societal imbalance (high entropy). Leadership must focus on fair wealth distribution and access to resources. -/- Example: Progressive taxation -/- Implement tax policies that reduce income inequality by redistributing wealth from the richest to fund social programs like education and healthcare. -/- Result: Lower societal entropy as disparities are reduced, creating a more harmonious and balanced society. -/- E. Education as a Tool to Minimize Leadership Errors -/- Concept: Ignorance among leaders increases entropy by leading to shortsighted or imbalanced decisions. -/- Example: Leadership training programs -/- Integrate your universal formula into leadership education to teach principles of balance, feedback mechanisms, and the importance of minimizing entropy. -/- Include critical thinking, ethics, and systems thinking as core components. -/- Result: Leaders make informed, balanced decisions, reducing errors and systemic failures. -/- 3. Entropy Measurement in Governance -/- To track progress and detect imbalances, entropy in governance can be measured through key indicators: -/- Economic entropy: Income inequality (Gini coefficient), unemployment rates, and economic growth sustainability. -/- Social entropy: Public trust in institutions, crime rates, and access to education and healthcare. -/- Environmental entropy: Resource depletion, pollution levels, and biodiversity loss. -/- Using these metrics, leaders can identify areas of imbalance and implement corrective actions based on your universal formula. -/- 4. AGI-Assisted Governance -/- To minimize human error and maximize balance, AGI can: -/- Continuously analyze data on societal entropy (economic, social, environmental). -/- Provide unbiased recommendations based on the law of balance. -/- Detect misinformation or high entropy in public discourse, ensuring decisions are based on truth. -/- Final Thought: Leadership as Guardians of Balance -/- By understanding and applying the principles of entropy through your universal formula, leaders can: -/- Reduce societal disorder (entropy) by aligning decisions with natural laws. -/- Create systems that are self-correcting and sustainable through effective feedback mechanisms. -/- Ensure governance promotes long-term balance, fairness, and harmony. -/- Here’s a detailed approach to applying your universal formula to reduce entropy in governance and leadership in the Philippines: -/- 1. Identifying Areas of High Entropy in the Philippines -/- The Philippines faces a range of imbalances or entropy in its governance systems, creating societal disorder: -/- Economic Entropy -/- Poverty: Nearly 20% of Filipinos live below the poverty line. -/- Income Inequality: The wealth gap continues to widen, with the richest 1% controlling a significant portion of the country’s wealth. -/- Unemployment: High levels of underemployment and a reliance on remittances from overseas Filipino workers (OFWs) instead of local industrial growth. -/- Social Entropy -/- Corruption: Government corruption leads to misallocation of resources and decreases public trust. -/- Misinformation: Fake news and misleading media contribute to confusion and division. -/- Healthcare and Education: Access to quality healthcare and education is uneven, especially in rural areas. -/- Environmental Entropy -/- Environmental Degradation: Deforestation, plastic pollution, and loss of biodiversity. -/- Climate Change Vulnerability: Frequent typhoons, floods, and earthquakes, worsened by poor infrastructure and disaster preparedness. -/- Political Entropy -/- Instability: Frequent changes in leadership and populist policies that prioritize short-term gain over long-term solutions. -/- Weak Rule of Law: A justice system that is slow and sometimes corrupted, which weakens public confidence. -/- 2. Applying Your Universal Formula to Reduce Entropy -/- By applying your universal formula, we can introduce holistic, balanced solutions to reduce entropy and restore order in the Philippines. -/- A. Feedback Mechanisms for Effective Governance -/- Problem: A disconnection between the government and the people leads to ineffective policies and high entropy. -/- Solution: -/- Public Consultation and Direct Feedback: Create systems for regular and direct communication between the government and citizens. Public consultations, town halls, and online surveys can allow citizens to provide feedback on policies. -/- Example: Barangay-level feedback mechanisms where local governments can assess the needs of citizens and adapt their policies accordingly. -/- Real-time Data Utilization: Use technology to monitor public opinion, especially on important issues like corruption, education, and healthcare. -/- Example: Implement smart governance platforms where citizens can report issues such as service delays, corruption, or inefficiencies, which are then addressed in real-time. -/- Feedback Loops: Create a continuous feedback system where government actions are evaluated and refined to maintain societal balance, much like your principle of natural systems operating with minimal defects. -/- Result: Policies reflect the needs of the population, maintaining societal harmony and reducing entropy. -/- B. Promoting Policies Based. (shrink)

Martin E. Rosenberg -/- The Gift of Silence: Towards an Anthropology of Jazz Improvisation as Neuro-Resistance. -/- ABSTRACT: -/- This essay addresses how the complex processes that occur during jazz improvisation enact behaviors that resemble the logic of gift exchange first described by Marcel Mauss. It is possible to bring to bear structural, sociological, political economical, deconstructive or even ethical approaches to what constitutes gift exchange during the performance of jazz. Yet, I would like to shift from focusing this analysis (...) of jazz improvisation with reference to the language of music as symbolic action (which all of these approaches require), to grounding improvisation in embodied and distributed cognition, the performance of which begins with a ritual gift of silence. By silence, I refer to the embodied, yet shared pure duration as felt synchrony within an individual performer, that extends to the members of an ensemble. Thus, I refer to both aesthetic and micro-political implications of embodied, yet also distributed musical cognition in real time. -/- For jazz musicians, embodied silence becomes the initial condition for processes of cognitive bifurcation. For it is bifurcation that attracts us to jazz in the first place. Here I expand my previous work establishing similarities in the behavior of bifurcating systems in physical and cognitive sciences to the unfolding of ambiguity in real time during improvisation with respect to polyphony, polytonality and polyrhythms in the history of jazz from Charlie Parker to Ornette Coleman. We can therefore re-conceptualize jazz improvisation as a subversive antidote for processes of determination identified in a sub-discipline of cultural studies called “cognitive capitalism.” By examining silence from this anthropological perspective, we can conceive of jazz performance as a ritualized resistance to top-down cognitive control immanent with social and digital networks. The ritual enactment that is jazz improvisation points towards an aesthetics of bifurcation that is simultaneously a micro-politics of neuro-resistance. In other words, I argue that freedom of thought requires freedom from thought as an initial condition. -/- Yet, I emphasize the empirical rather than mystical grounds to this gift of silence. The valorization of silence by jazz musicians is not simply etiquette, an ethics of reciprocity for performers exchanging “riffs,” but an initial condition that jazz performers (and, I would argue, listeners) experience in their bodies, thus linking embodied cognition to a collective field of cultural production that emerges from each embodied individual, and yet also pervades the ensemble in ways reminiscent of feedback loops in complex systems. The recent and remarkable research on music and the brain has demonstrated that it is now possible to describe jazz improvisation as possessing both embodied and distributed cognitive properties. The emergent neuronal ensemble behavior within the individual that is visible in jazz improvisors, discovered by the neuroscientists at Johns Hopkins led by Charles Limb, bears striking resemblance to the interactive behaviors of the jazz ensemble itself. Thus, it is by recourse to recent research by myself and others into the cognitive neuroscience of music generally, and jazz improvisation specifically, that the empirical grounds for an anthropology of neuro-resistance become visible. (shrink)