There is currently no generally agreed-upon definition of the mechanism of action of psychedelic therapy. Existing proposals have approached the issue from various perspectives, utilizing concepts on many layers of abstraction. Most commonly, mechanisms based on neurotransmitters have been proposed. From a clinical perspective, explanations on the psychological level would be more useful. This study provides one such explanation, focusing on the destabilization of trauma-related memories and their replacement with memories that allow for more adaptive behaviors. This mechanism (...) is not specific to psychedelics, and the study therefore illustrates a non-pharmacological process involving it. -/- The study features a male entrepreneur in his early fifties who suffered from chronic but non-debilitating anxiety and depression since his teenage years. In his mid-30s, he suffered from severe burnout but partially recovered. The amount of alcohol consumed was constantly relatively high. More recently, due to simultaneous relationship and workplace stress, he experienced a more severe episode of burnout, depression, anxiety, and insomnia. He felt completely exhausted when trying to get something done and became fearful of the workplace. Psychotherapy and various pharmaceutical medications provided little benefit. -/- After three months on sick leave, a trip to the mountains triggered severe insomnia. Sleep deprivation likely contributed to a spontaneous experience of altered states of mind, including a two-day period of hallucinatory visions. There was the feeling of being a complete failure, but through a new relationship initiated just before the trip, he received love and validation from his new partner, which contradicted the feeling of worthlessness. The combination of an altered state of mind and love induced an alteration of identity that resolved his depression, burnout, and sleep disorders. After three more months of self-organized rehabilitation, he successfully returned to work. -/- Six months after the trip, financial decline caused by his absence and unchanged stressful conditions at the workplace led to disappointment, motivational issues, and stress, but his work performance remained good regardless. One year after the trip, although his work-related stress had increased rather than decreased due to the financial situation of his company being more demanding than before his burnout, the positive outcome prevailed, proving its long-term stability. (shrink)

In this dissertation I achieve the following: (1) I present motivating criteria for a general comprehensive theory of scientific explanation. I review historical approaches to modeling explanation in light of these criteria. (2) I present New Mechanist Explanation ("NME") as the leading candidate for a contemporary, complete theory of scientific explanation. (3) I present constraints on the applicability of New Mechanism in modeling biology, chemistry, and physics. I argue for the unsuitability of NME as a candidate for a general (...) theory of explanation due to its significant omissions of explanatory content and subsequent incompleteness. (4) I present arguments for the indispensable explanatory power of mathematics in science, noting that much of NME's failures are owed to its poor integration of mathematical explanation as applied to science. (5) I propose a Rational-Relational theory of explanation(“RRE”). I present RRE in detail and demonstrate it as a true working general theory of explanation which best meets the motivating criteria presented in (1). I disambiguate RRE from structural explanation ("SE"). I show that historical models of explanation, including the deductive nomological (DNE) model, statistical relevance ("SRE") model, structural model (SE) and unification model ("UE") may be successfully treated as sub-classes of explanation within the scope of RRE. I provide a rubric for selecting amongst sub-theories of explanation under RRE in the purpose of highlighting particular features of relational explanations. (6) In conclusion, I argue that philosophers of science should move forward using RRE as a general model of scientific explanation as a working alternative to the incomplete model of NME. (shrink)

There are different ways of dividing psychology into subdisciplines. The purpose of the present paper is to explore one specific meta-perspective on psychological science, seen as having three main branches: person psychology, population psychology, and mechanism psychology, linked to three different levels of research. Person-level research focuses on psychological phenomena as experienced and enacted by individual persons in their interaction with other persons and other parts of the environment, and in their development over time. Population-level research focuses on populations (...) of individuals, frequencies of various psychological phenomena in a population, risk factors, and population-level effects of various psychological interventions. Mechanism-level research focuses on psychological func-tioning as explained in terms of neurophysiological mechanisms and information processes at a sub-personal level. It is argued that the failure to differentiate clearly between research questions at these three levels lead to questionable research practices. Most notably, a failure to differentiate clearly between the population level and the person level leads to problem-method mismatches in the form of re-searchers trying to answer questions about persons by research on populations. Also, because of a failure to differentiate between the person level and the mechanism level, explanations in terms of sub-personal mechanisms are too often seen as providing answers about what occurs at the person level, thereby failing to study persons as intentional agents in interaction with other persons and other parts of the environment. It is argued that a clear differentiation between three levels of psychological science – population, person, and mechanism – may contribute to an increased clarity in these matters and may thereby contribute to the development and maturation of psychological science. (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)

The Consequences of Human Overpopulation: Nature’s Automatic Balancing Mechanism -/- Introduction -/- Throughout history, civilizations have risen and fallen due to their ability—or failure—to manage resources and population growth. In today’s world, human overpopulation has reached an unprecedented scale, straining ecosystems, depleting resources, and accelerating climate change. If population growth remains unchecked, nature will impose its own form of balance through disease, war, famine, and environmental collapse. This essay explores how overpopulation mirrors invasive species behavior and how nature’s (...) corrective mechanisms will inevitably restore equilibrium if humans fail to act. -/- Human Overpopulation as an Invasive Species Phenomenon -/- In ecology, an invasive species is one that spreads uncontrollably, outcompeting native species and destabilizing ecosystems. Humans fit this description in many ways. Over the past centuries, human populations have expanded across the planet, altering environments, driving species to extinction, and consuming resources at an unsustainable rate. -/- Characteristics of an Invasive Species in Human Behavior: -/- 1. Uncontrolled Growth – The human population has increased exponentially, surpassing eight billion and continuing to rise. -/- 2. Resource Overconsumption – Forests are cleared, water sources are depleted, and fossil fuels are burned at unsustainable rates. -/- 3. Disruption of Ecosystems – Pollution, habitat destruction, and climate change have permanently altered natural cycles. -/- 4. Lack of Natural Population Control – Unlike other species, humans have eliminated most natural predators and diseases through medicine and technology. -/- When any species exceeds the carrying capacity of its environment, nature enforces balance through survival pressures. Humanity is not exempt from this rule. -/- Nature’s Methods of Population Control -/- If humans fail to regulate their own numbers, natural forces will intervene. The following mechanisms have historically served as population checks and will continue to do so: -/- 1. Disease and Pandemics -/- Throughout history, pandemics have significantly reduced human populations. The Black Death in the 14th century wiped out nearly 50% of Europe’s population, and more recently, COVID-19 caused millions of deaths worldwide. Overpopulation leads to dense urban areas where diseases spread rapidly. Additionally, antibiotic resistance and new viruses could emerge as unintended consequences of human activity, leading to more devastating outbreaks. -/- 2. War and Conflict -/- As resources become scarce, competition intensifies. Wars often arise from disputes over land, water, food, and energy. In modern times, conflicts in regions suffering from overpopulation and resource depletion—such as the Middle East and parts of Africa—demonstrate this pattern. Future conflicts over freshwater, fertile land, and energy resources are highly likely. -/- 3. Famine and Food Shortages -/- The global food supply is under strain as agricultural land becomes exhausted and climate change disrupts weather patterns. As the population grows, the demand for food increases, but overfarming leads to soil degradation, making it harder to produce enough food. Countries already facing food insecurity will suffer the most, leading to malnutrition, starvation, and potential mass migrations. -/- 4. Environmental Collapse -/- Unchecked human activity is leading to deforestation, biodiversity loss, and pollution. Climate change, fueled by overpopulation and industrialization, is causing more frequent and severe natural disasters, including hurricanes, droughts, and wildfires. These environmental catastrophes will destroy infrastructure, displace millions, and further strain already limited resources. -/- 5. Social Breakdown and Crime -/- Overpopulation leads to overcrowded cities, economic inequality, and competition for jobs and resources. In societies where basic needs cannot be met, crime rates rise, and social unrest becomes more frequent. Countries with high population densities and weak governance structures are already experiencing increased violence, civil conflicts, and failing economies. -/- Can Humanity Avoid Nature’s Harsh Correction? -/- Unlike other species, humans have the ability to recognize and mitigate the consequences of their actions. There are two possible paths: -/- 1. Self-Regulation Through Sustainable Policies -/- Governments and organizations can promote family planning, education, and birth control to stabilize population growth. -/- Shifting toward sustainable agriculture, renewable energy, and resource conservation can help prevent environmental collapse. -/- Strengthening international cooperation to manage resource distribution and prevent conflicts can reduce the risks of war and famine. -/- 2. Ignoring the Problem and Facing Natural Consequences -/- If humanity refuses to control its population, disease, war, famine, and environmental collapse will enforce balance. -/- The poorest regions will suffer first, but wealthier nations will also experience economic decline, migration crises, and societal breakdown. -/- Conclusion -/- Human overpopulation follows the pattern of an invasive species, consuming resources at an unsustainable rate and destabilizing ecosystems. While humans have the intelligence and technology to regulate their own numbers, history suggests that if we fail to act, nature will impose balance through suffering and destruction. Whether through pandemics, war, famine, or climate disasters, population control will occur—either by human intervention or by nature’s unforgiving hand. -/- The choice is clear: Will humanity take responsibility for its future, or will we wait for nature to correct our mistakes in the most brutal way possible? -/- . (shrink)

One of the main contentions of the framework for Responsible Innovation (RI) is that social and ethical aspects have to be addressed by deliberative engagement with stakeholders and the wider public throughout the innovation process. The aim of this article is to reflect on the question to what extent is deliberative engagement suitable for conducting RI in business. We discuss several tensions that arise when this framework is applied in the business context. Further, we analyse the place of deliberative engagement (...) in several theories of business ethics. We conclude that there remains a tension between the ideal of RI and the way in which the competitive market operates. Hence, RI scholars should reflect more critically on changes that are required in the market in order to make RI possible, modify the ideal of deliberative engagement for RI in business, or attempt to strike a balance between these two responses. (shrink)

This thesis examines philosophical controversies surrounding the evaluation of medical treatments, with a focus on the evidential roles of randomised trials and mechanisms in Evidence-Based Medicine. Current 'best practice' usually involves excluding non-randomised trial evidence from systematic reviews in cases where randomised trials are available for inclusion in the reviews. The first paper challenges this practice and evaluates whether adding of evidence from non-randomised trials might improve the quality and precision of some systematic reviews. The second paper compares the alleged (...) methodological benefits of randomised trials over observational studies for investigating treatment benefits. It suggests that claims about the superiority of well-conducted randomised controlled trials over well-conducted observational studies are justified, especially when results from the two methods are contradictory. The third paper argues that postulating the unpredictability paradox in systematic reviews when no detectable empirical differences can be found requires further justification. The fourth paper examines the problem of absence causation in the context of explaining causal mechanisms and argues that a recent solution is incomplete and requires further justification. Solving the problem by describing absences as causes of 'mechanism failure' fails to take into account the effects of absences that lead to vacillating levels of mechanism functionality. The fifth paper criticises literature that has emphasised functioning versus 'broken' or 'non-functioning' mechanisms emphasising that many diseases result from increased or decreased mechanism function, rather than complete loss of function. Mechanistic explanations must account for differences in the effectiveness of performed functions, yet current philosophical mechanistic explanations do not achieve this. The last paper argues that the standard of evidence embodied in the ICE theory of technological function is too permissive for evaluating whether the proposed functions of medical technologies have been adequately assessed and correctly ascribed. It argues that high-quality evidence from clinical studies is necessary to justify functional ascriptions to health care technologies. (shrink)

In this paper, an account of theoretical integration in cognitive (neuro)science from the mechanistic perspective is defended. It is argued that mechanistic patterns of integration can be better understood in terms of constraints on representations of mechanisms, not just on the space of possible mechanisms, as previous accounts of integration had it. This way, integration can be analyzed in more detail with the help of constraintsatisfaction account of coherence between scientific representations. In particular, the account has resources to talk of (...) idealizations and research heuristics employed by researchers to combine separate results and theoretical frameworks. The account is subsequently applied to an example of successful integration in the research on hippocampus and memory, and to a failure of integration in the research on mirror neurons as purportedly explanatory of sexual orientation. (shrink)

In this paper, we defend a novel, multidimensional account of representational unification, which we distinguish from integration. The dimensions of unity are simplicity, generality and scope, non-monstrosity, and systematization. In our account, unification is a graded property. The account is used to investigate the issue of how research traditions contribute to representational unification, focusing on embodied cognition in cognitive science. Embodied cognition contributes to unification even if it fails to offer a grand unification of cognitive science. The study of this (...) failure shows that unification, contrary to what defenders of mechanistic explanation claim, is an important mechanistic virtue of research traditions. (shrink)

This paper aims to offer a new view of the role of connectionist models in the study of human cognition through the conceptualization of the history of connectionism – from the simplest perceptrons to convolutional neural nets based on deep learning techniques, as well as through the interpretation of criticism coming from symbolic cognitive science. Namely, the connectionist approach in cognitive science was the target of sharp criticism from the symbolists, which on several occasions caused its marginalization and almost complete (...) abandonment of its assumptions in the study of cognition. Criticisms have mostly pointed to its explanatory inadequacy as a theory of cognition or to its biological implausibility as a theory of implementation, and critics often focused on specific shortcomings of some connectionist models and argued that they apply to connectionism in general. In this paper, we want to show that both types of critique are based on the assumption that the only valid explanations in cognitive science are instances of homuncular functionalism and that by removing this assumption and by adopting an alternative methodology – exploratory mechanistic strategy, we can reject most objections to connectionism as irrelevant, explain the progress of connectionist models despite their shortcomings and sketch the trajectory of their future development. By adopting mechanistic explanations and by criticizing functionalism, we will reject the objections of explanatory inadequacy, by characterizing connectionist models as generic rather than concrete mechanisms, we will reject the objections of biological implausibility, and by attributing the exploratory character to connectionist models we will show that practice of generalizing current to general failures of connectionism is unjustified. (shrink)

Even though the evidence‐based medicine movement (EBM) labels mechanisms a low quality form of evidence, consideration of the mechanisms on which medicine relies, and the distinct roles that mechanisms might play in clinical practice, offers a number of insights into EBM itself. In this paper, I examine the connections between EBM and mechanisms from several angles. I diagnose what went wrong in two examples where mechanistic reasoning failed to generate accurate predictions for how a dysfunctional mechanism would respond to (...) intervention. I then use these examples to explain why we should expect this kind of mechanistic reasoning to fail in systematic ways, by situating these failures in terms of evolved complexity of the causal system(s) in question. I argue that there is still a different role in which mechanisms continue to figure as evidence in EBM: namely, in guiding the application of population‐level recommendations to individual patients. Thus, even though the evidence‐based movement rejects one role in which mechanistic reasoning serves as evidence, there are other evidentiary roles for mechanistic reasoning. This renders plausible the claims of some critics of evidencebased medicine who point to the ineliminable role of clinical experience. Clearly specifying the ways in which mechanisms and mechanistic reasoning can be involved in clinical practice frames the discussion about EBM and clinical experience in more fruitful terms. (shrink)

Despite signifying a negative self-appraisal, shame has traditionally been thought by philosophers to entail the presence of self-respect in the individual. On this account, shame is occasioned by one’s failure to live up to certain self-standards—in displaying less worth than one thought one had—and this moves one to hide or otherwise inhibit oneself in an effort to protect one’s self-worth. In this paper, I argue against the notion that only self-respecting individuals can experience shame. Contrary to the idea that (...) shame presupposes the presence of self-worth, I contend that shame merely requires that one have the desire, rather than the expectation, that one is worthy. Furthermore, I suggest that the desire for concealment fueled by shame is not an inherently self-protective mechanism but can alternatively be understood as an effort to safeguard one’s connection with others. (shrink)

No two individuals with the autism diagnosis are ever the same—yet many practitioners and parents can recognize signs of ASD very rapidly with the naked eye. What, then, is this phenotype of autism that shows itself across such distinct clinical presentations and heterogeneous developments? The “signs” seem notoriously slippery and resistant to the behavioral threshold categories that make up current assessment tools. Part of the problem is that cognitive and behavioral “abilities” typically are theorized as high-level disembodied and modular functions—that (...) are assessed discretely (impaired, normal, enhanced) to define a spectral syndrome. Even as biology reminds us that organic developing bodies are not made up of independent switches, we remain often seduced by the simplicity of mechanistic and cognitive models. Developmental disorders such as autism have accordingly been theorized as due to different modular dysfunctions—typically of cortical origin, i.e., failures of “theory of mind” (Baron-Cohen et al., 1985), of the “mirror neuron system” (Ramachandran and Oberman, 2006), of “weak central coherence” (Happe and Frith, 2006) or of the balance of “empathizing” and “systemizing” (Baron-Cohen, 2009), just to list a few. -/- The broad array of autonomic (Ming et al., 2005; Cheshire, 2012) and sensorimotor (Damasio and Maurer, 1978; Maurer and Damasio, 1982; Donnellan and Leary, 1995; Leary and Hill, 1996; Donnellan and Leary, 2012; Donnellan et al., 2012) differences experienced and reported by people with autism have by such theories typically been sidelined as “co-morbidities,” possibly sharing genetic causes, but rendered as incidental and decisively behaviorally irrelevant symptoms—surely disconnected from cognition. But what if the development of cortically based mental processes and autonomous control relies on the complexities and proper function of the peripheral nervous systems? Through such an “embodied” lens the heterogeneous symptoms of autism invites new interpretations. We propose here that many behavioral-level findings can be re-defined as downstream effects of how developing nervous systems attempt to cope and adapt to the challenges of having various noisy, unpredictable, and unreliable peripheral inputs. (shrink)

Living agency is subject to a normative dimension (good-bad, adaptive-maladaptive) that is absent from other types of interaction. We review current and historical attempts to naturalize normativity from an organism-centered perspective, identifying two central problems and their solution: (1) How to define the topology of the viability space so as to include a sense of gradation that permits reversible failure, and (2) how to relate both the processes that establish norms and those that result in norm-following behavior. We present (...) a minimal metabolic system that is coupled to a gradient-climbing chemotactic mechanism. Studying the relationship between metabolic dynamics and environmental resource conditions, we identify an emergent viable region and a precarious region where the system tends to die unless environmental conditions change. We introduce the concept of normative field as the change of environmental conditions required to bring the system back to its viable region. Norm-following, or normative action, is defined as the course of behavior whose effect is positively correlated with the normative field. We close with a discussion of the limitations and extensions of our model and some final reflections on the nature of norms and teleology in agency. (shrink)

Philosophical and scientific investigations of the proprietary aspects of self—mineness or mental ownership—often presuppose that searching for unique constituents is a productive strategy. But there seem not to be any unique constituents. Here, it is argued that the “self-specificity” paradigm, which emphasizes subjective perspective, fails. Previously, it was argued that mode of access also fails to explain mineness. Fortunately, these failures, when leavened by other findings (those that exhibit varieties and vagaries of mineness), intimate an approach better suited to searching (...) for an explanation. Having an alternative in hand, one that shows promise of achieving explanatory adequacy, provides an additional reason to suspend the search for unique constituents. In short, a negative and a positive thesis are developed: we should cease looking for unique constituents and should seek to explain mineness in accord with the model developed here. This model rejects attempts to explain the phenomenon in terms of either a narrative or a minimal sense of self; it seeks to explain at a “molecular” level, one that appeals to multiple, interacting dimensions. The molecular-level model allows for the possibility that subjective perspective is distinct from a stark perspective (one that does not imply mineness). It proposes that the confounding of tacit expectations plays an important role in explaining mental ownership and its complement, disownership. But the confounding of tacit expectations is not sufficient. Because we are able to be aware of the existence of mental states that do not belong to self, we require a mechanism for determining degree of self-relatedness. One such mechanism is proposed here, and it is shown how this mechanism can be integrated into a general model of mental ownership. In the spirit of suggesting how this model might be able to help resolve outstanding problems, the question as to whether inserted thoughts belong to the patient who reports them is also considered. (shrink)

Functional decomposition is an important goal in the life sciences, and is central to mechanistic explanation and explanatory reduction. A growing literature in philosophy of science, however, has challenged decomposition-based notions of explanation. ‘Holists’ posit that complex systems exhibit context-sensitivity, dynamic interaction, and network dependence, and that these properties undermine decomposition. They then infer from the failure of decomposition to the failure of mechanistic explanation and reduction. I argue that complexity, so construed, is only incompatible with one notion (...) of decomposition, which I call ‘atomism’, and not with decomposition writ large. Atomism posits that function ascriptions must be made to parts with minimal reference to the surrounding system. Complexity does indeed falsify atomism, but I contend that there is a weaker, ‘contextualist’ notion of decomposition that is fully compatible with the properties that holists cite. Contextualism suggests that the function of parts can shift with external context, and that interactions with other parts might help determine their context-appropriate functions. This still admits of functional decomposition within a given context. I will give examples based on the notion of oscillatory multiplexing in systems neuroscience. If contextualism is feasible, then holist inferences are faulty—one cannot infer from the presence of complexity to the failure of decomposition, mechanism, and reductionism. (shrink)

Whereas decades of research have cataloged striking errors in physical reasoning, a resurgence of interest in intuitive physics has revealed humans’ remarkable ability to successfully predict the unfolding of physical scenes. A leading interpretation intended to resolve these opposing results is that physical reasoning recruits a general-purpose mechanism that reliably models physical scenarios (explaining recent successes), but overly contrived tasks or impoverished and ecologically invalid stimuli can produce poor performance (accounting for earlier failures). But might there be tasks that (...) persistently strain physical understanding, even in naturalistic contexts? Here, we explore this question by introducing a new intuitive physics task: evaluating the strength of knots and tangles. Knots are ubiquitous across cultures and time-periods, and evaluating them correctly often spells the difference between safety and peril. Despite this, 5 experiments show that observers fail to discern even very large differences in strength between knots. In a series of two-alternative forced-choice tasks, observers viewed a variety of simple “bends” (knots joining two pieces of thread) and decided which would require more force to undo. Though the strength of these knots is well-documented, observers’ judgments completely failed to reflect these distinctions, across naturalistic photographs (E1), idealized renderings (E2), dynamic videos (E3), and even when accompanied by schematic diagrams of the knots’ structures (E4). Moreover, these failures persisted despite accurate identification of the topological differences between the knots (E5); in other words, even when observers correctly perceived the underlying structure of the knot, they failed to correctly judge its strength. These results expose a blindspot in physical reasoning, placing new constraints on general-purpose theories of scene understanding. (shrink)

The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging network lifetime. The proposed methodology employs a multi-step approach, starting with the initialization phase, where nodes calculate their depth and energy levels. Following this, a depth-based clustering mechanism organizes nodes into clusters, allowing more efficient data aggregation. The routing process then prioritizes nodes with higher energy levels, reducing premature node failure. A novel energy-aware transmission algorithm ensures that data packets are (...) transmitted over the most energy-efficient paths, thus extending the overall network longevity. Simulation results demonstrate that the proposed protocol achieves significant improvements in energy consumption, data transmission reliability, and network lifetime compared to traditional methods. The conclusion discusses the potential future enhancements, including adaptive algorithms that can further reduce energy consumption in large-scale UWSNs. (shrink)

This interdisciplinary paper identifies principles of an affluent country (im)migration policy that avoids: (1) the positivist inclusion/exclusion mechanism of liberalism and communitarianism; and (2) the idealism of most cosmopolitan (im)migration theories. First, I: (a) critique the failure of liberalism and communitarianism to consider (im)migration under distributive justice; and (b) present cosmopolitan (im)migration approaches as a promising alternative. This paper’s central claim is that cosmopolitan (im)migration theory can determine normative shortcomings in (im)migration policy by coupling elements of Frankfurt School (...) methodology to case studies of (im)migration regimes. Lastly, I apply this analytical procedure to recent special changes in Spanish and UK immigration law. (shrink)

Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIALE Cunoașterea, de Nicolae Sfetcu Cuvânt introductiv pentru (și despre) „Cunoașterea Științifică”, de Adrian Klein Viitorul științei – Știința științelor, de Nicolae Sfetcu -/- ȘTIINȚE NATURALE Teste gravitaționale, de Nicolae Sfetcu Inside, and Beyond „Nothingness”, de Adrian Klein și Robert Neil Boyd Anomalii ale relativității generale, de Nicolae Sfetcu -/- ȘTIINȚE SOCIALE Fondarea Uniunii Europene și evoluția tratatelor comunității (...) europene, de Alexandru Cristian Istoria eugeniei, de Nicolae Sfetcu Contextul intrării României în al Doilea Război Mondial, de Nicolae Sfetcu Dezvoltarea capabilităților europene în domeniul managementului crizelor, de Alexandru Cristian The Security Management System from the Perspective of the Global Energy Crisis and the Extended Black Sea Region Escalating Conflict, de Daniela Georgiana Golea, Andreea Florina Radu, și Tiberiu Tănase Closed Economies, Autarchy – Failure and Economic Disaster, de Darius-Antoniu Ferenț -/- ȘTIINȚE FORMALE Ontologii de intreprindere în tehnologia blockchain, de Nicolae Sfetcu Învățarea automată a regulilor de asociere în mineritul datelor (data mining), de Drew Bentley -/- FILOSOFIE Platon: Biografia, de Nicolae Sfetcu Karl Popper și problema demarcației între știință și ne-știință, de Nicolae Sfetcu A Scientifically Acceptable Mechanism for the Reincarnation Process of the Self, de Adrian Klein -/- RECENZII CĂRȚI Lebăda Neagră, un risc asumat – Merită?, de Nicolae Sfetcu Republica lui Platon, de Nicolae Sfetcu -/- ISSN 2971 – 9070 ISSN-L 2821 – 8086, DOI: 10.58679/CS83230. (shrink)

When discussing the problem of evil, philosophers often distinguish between physical evil (harm caused within the natural world such as natural disasters, disease, and the like), and moral evil (harm caused by human agency). Mapping this traditional distinction is mapped onto the third section of Fichte’s The Vocation of Man would at first seem fairly straightforward: for Fichte, evil arising from nature occurs through “blind mechanism” and is unfree; in contrast, evil done by human beings arises out of free (...) agency. The answer may be more complicated, however, in two different ways. First, Fichte holds that nature is to be cultivated and controlled by human beings so that it is no longer a source of harm; this may imply that the continuing harm done by nature is the result of humans’ failure to have sufficiently tamed nature. In that case, some of the harm caused by nature may be attributable to free human causality and thus no longer be a clearcut instance of natural evil. Second, Fichte repeatedly states that those who fail to act morally and who fail to conform their wills to the moral law are still be in the power of the mechanisms of nature. Even though we must think of them as free, Fichte compares their actions to the operation of nature and its mechanism of necessity. By presenting a careful and nuanced Fichtean account of the traditional distinction between physical and moral evil, we can better appreciate how Fichte understood the meaning and scope of human responsibility. (shrink)

Wittgenstein’s concepts shed light on the phenomenon of schizophrenia in at least three different ways: with a view to empathy, scientific explanation, or philosophical clarification. I consider two different “positive” wittgensteinian accounts―Campbell’s idea that delusions involve a mechanism of which different framework propositions are parts, Sass’ proposal that the schizophrenic patient can be described as a solipsist, and a Rhodes’ and Gipp’s account, where epistemic aspects of schizophrenia are explained as failures in the ordinary background of certainties. I argue (...) that none of them amounts to empathic-phenomenological understanding, but they provide examples of how philosophical concepts can contribute to scientific explanation, and to philosophical clarification respectively. (shrink)

I argue that there are no plausible non-representational explanations of episodes of hallucination. To make the discussion more specific, I focus on visual hallucinations in Charles Bonnet syndrome. I claim that the character of such hallucinatory experiences cannot be explained away non-representationally, for they cannot be taken as simple failures of cognizing or as failures of contact with external reality—such failures being the only genuinely non-representational explanations of hallucinations and cognitive errors in general. I briefly introduce a recent computational model (...) of hallucination, which relies on generative models in the brain, and argue that the model is a prime example of a representational explanation referring to representational mechanisms. The notion of the representational mechanism is elucidated, and it is argued that hallucinations—and other kinds of representations—cannot be exorcised from the cognitive sciences. (shrink)

"All-and-Nought" is the 2nd Edition of a series of books that study the nature of Reality and Being. The first edition of the book, "The Metaphysics of All-and-None", was published by Edwin Mellen Press in January 2022; since then the book has been under severe investigations and reviews by many scholars and pundits worldwide. The 2nd edition of the book contains the original text plus a foreword by Professor Richard Howells from King’s College London and some reports by Physicists, Biologists, (...) and others. Journal of Mind, one the most important journals in Philosophy, paid attention to the book and in its critical review article October 2022, encourages all philosophers and pundits to study the book. -/- The book's core concept is a Scientific/Mathematical, a-priori/synthetic theory called All'n'None Theory. It studies the Symmetry and Asymmetry in Reality and points to a state that indicates the deep Symmetry between "All Beings" and "Nothingness". It deeply studies the relationships between being and non-being from the perspective of Symmetry and symmetry failure and offers a measurement tool and a new method of studding phenomena. -/- It seems All`n`None Theory is a scientific breakthrough and discovery. The book methodologically applies Physics, Conceptual philosophy, Mathematics, and jurisprudence analysis both inductively and deductively to prove its theory. It is the first and the only Theory for Explaining the nature of Existence (being) and provides a technique to measure the amount of existence in each being. -/- Through understanding Existence, the book explains Creation, Cosmos, Consciousness, Mind, Spirit, and Soul scientifically. It is deep enough to initially encompass and then merge all modern Sciences (Physics, Philosophy, Complexity, System Theory, Information Theory, Psychology, Biology, Humanities, Economy, and Management) with Buddhism, Hinduism, Judaism, Christianity, and Islam (Theology) and makes the image of Reality clearer for readers. -/- The book proves chaos management in the depth of creation and shows how people can use the only law of creation for their own success and salvation. Therefore the book is an inspirational one too. Readers by reading the book and understanding it not only gain scientific knowledge but also find profound wisdom that heals them. They feel they are enlightened and motivated to construct their meaning of life. Readers can recognize their self/ego structure of being and enjoy the passion to improve. -/- The book tries to explain the mechanism of Thinking with respect to Symmetry and the failure of Symmetry as the foundation of Categorization, Mentalization, and Cognition. By understanding the mechanism of cognition it can study Epistemology and explain the Believing Mechanism and the nature of Beliefs as a kind of being. The theory claims no matter the beliefs originated from Science or Religion the mechanisms that govern both of them are the same. Based on the theory, “Knower or Observer”, “Known or Observed”, and “knowing or observation” are rooted in Symmetry and its failure. The tone, language, and structure of the book are unique to itself. It is not an entertainment or commercial book. The book is written for readers who plan to spend enough time to think about its content. (shrink)

The Universal Formula: Solving the Problem of Free Will Through the Law of Balance By Angelito Malicse Introduction The problem of free will has puzzled humanity for centuries, often viewed as a philosophical or metaphysical enigma. This essay presents a universal formula that resolves this dilemma by focusing on the law of karma and the universal law of balance. It explores the interconnectedness of systems, the critical role of accurate knowledge, and the evolution of emotions in maintaining harmony. By examining (...) real-world examples such as overpopulation, environmental degradation, economic instability, and the flaws of capitalism, this essay demonstrates how the universal formula can guide human decision-making to achieve a balanced and sustainable world. The Law of Karma: Systems and Balance The universal formula begins with the law of karma, which extends beyond cause and effect to encompass the integrity of systems, both natural and man-made. Every system—whether ecological, social, or economic—operates according to the universal law of balance. When imbalances arise, the system becomes dysfunctional, leading to adverse consequences. For example, while humans sit at the top of the food chain, the Earth's ecosystem cannot sustain unchecked overpopulation of our species. Overpopulation leads to the destruction of natural resources as humans consume everything, including plants, animals, and even insects. This voracious consumption damages ecosystems, accelerates deforestation, depletes biodiversity, and disrupts the delicate balance of the natural world. To ensure the sustainability of life on Earth, it is crucial to regulate population growth, conserve natural resources, and refrain from exploiting all animals on land and in the sea. By preserving biodiversity and maintaining the integrity of ecosystems, we protect the foundation of life that supports all species, including humans. Free Will and the Dependence on Correct Knowledge Human free will is not an autonomous force but is entirely dependent on correct knowledge and information. Errors in decision-making, often caused by ignorance, false beliefs, and distorted theories, disrupt the balance of systems. For instance, the failure to regulate overpopulation creates cascading problems, including climate change, pollution, and resource depletion. Without accurate knowledge about the consequences of overpopulation, individuals and societies continue to make decisions that exacerbate these imbalances. Education and government policy play vital roles in addressing these issues. Policies that promote population regulation can maintain a sustainable economy, while education fosters awareness of the need to protect ecosystems and biodiversity. Correct information empowers individuals to make decisions that align with the universal law of balance, preventing errors that destabilize systems. The Flaws of Capitalism and the Need for Balance The efficiency of the capitalistic system increases over time, leading to significant flaws if left unchecked. Private companies continually strive to reduce overhead and operating expenses, often by automating processes and replacing human labor with robotics. While this enhances profitability, it also reduces employment opportunities, suppresses wages, and widens income inequality. These principles, central to the management strategies of most private companies, create systemic imbalances in the economy. The solution lies in adopting a mixed economic system that counterbalances the excesses of capitalism with socialist principles. Governments must play a pivotal role in addressing these imbalances by implementing the following measures: Creating High-Salary Government Jobs: These jobs provide stable income and stimulate local economies. Providing Unemployment Benefits or Universal Basic Income (UBI): These measures ensure that individuals who lose jobs due to automation and efficiency gains still have the purchasing power to meet their needs. Offering Free Healthcare and Education: These fundamental services reduce the financial burden on families, enabling them to invest in other areas of life. Promoting Government Spending: By investing in infrastructure, renewable energy, and public services, governments can create new jobs and maintain the flow of money in the economy. Government spending serves as a balancing mechanism by injecting funds into the economy, which in turn supports private companies through increased consumer demand. This feedback loop creates private-sector jobs, stabilizes the economy, and ensures a balanced flow of resources between public and private sectors. The Role of Emotions in Balancing Systems Human emotions, both positive and negative, serve as essential feedback mechanisms for maintaining balance. Positive emotions, such as love and joy, encourage cooperative behavior and strengthen familial and social bonds. Negative emotions, such as fear and anger, signal imbalances that require corrective action. For example, the unconditional love within a family fosters a nurturing environment that supports the emotional and psychological development of children. This foundation contributes to a high-quality next generation of parents, capable of fostering further generational improvement. Conversely, the absence of such love or a dysfunctional family structure often leads to crime, substance abuse, and other societal problems. These negative outcomes are the effects of systemic imbalances, whether caused by poor parenting, economic hardship, or the lack of a government safety net. Addressing Environmental and Social Imbalances The universal formula underscores the importance of a holistic education system in addressing systemic imbalances. Education must instill values such as cleanliness, discipline, ethics, and good manners while fostering a respect for nature. Teaching children the importance of not harming wildlife and preserving ecosystems is critical to protecting biodiversity and ensuring a harmonious coexistence with other species. Government policies also play a crucial role. Regulations that protect natural resources, reduce pollution, and promote renewable energy can prevent environmental degradation. Policies that provide social safety nets can alleviate poverty and reduce crime by addressing the root causes of economic and social imbalance. The Importance of Holistic Systems Thinking The universal formula emphasizes the interconnectedness of systems, demonstrating that imbalances in one area often ripple through others. For instance, a lack of holistic education contributes to ignorance, which leads to poor decision-making. This, in turn, exacerbates issues such as overpopulation, resource depletion, and social unrest. Producing a high-quality young generation requires a combination of good parenting, access to education, and supportive government policies. By fostering an environment that values balance, discipline, and ethics, societies can produce individuals capable of making decisions that align with the universal law of balance. Conclusion The universal formula offers a comprehensive solution to the problem of free will by integrating the law of karma, the universal law of balance, and the evolutionary role of emotions. By understanding and addressing the root causes of imbalance—whether environmental, social, or economic—humanity can achieve harmony within and across systems. Real-world examples, such as overpopulation, economic instability, environmental destruction, and the flaws of capitalism, highlight the urgent need to apply this formula. Through holistic education, informed policies, and an unwavering commitment to balance, individuals and societies can prevent errors, correct existing imbalances, and create a sustainable and harmonious future. The time to act is now. By embracing the universal formula, humanity can unlock the full potential of free will, ensuring a balanced and equitable world for generations to come. ---. (shrink)

This work develops a philosophically credible and psychologically realisable account of control that is necessary for moral responsibility. We live, think, and act in an environment of subjective uncertainty and limited information. As a result, our decisions and actions are influenced by factors beyond our control. Our ability to act freely is restricted by uncertainty, ignorance, and luck. Through three articles, I develop a naturalistic theory of control for action as a process of error minimisation that extends over time. Thus (...) conceived, control can serve to minimise the influence of luck on action and enable freedom in uncertainty. -/- In Article 1, Thor Grünbaum and I argue for a psychologically plausible account of the kind of control that is necessary for moral responsibility. We begin by establishing the relationship between agentive contribution and responsibility-level control. One way to determine whether one the right kind and degree of control to be morally responsible is to track one’s degree of contribution to an action. However, a psychologically plausible account of control in terms of agentive contribution may seem to contradict the types of functional-mechanistic explanations used in cognitive science. In cognitive psychology and cognitive neuroscience, personal-level capacities are explained by a set of sub-personal mechanisms. Often, such explanations leave no room for a contribution by the agent. By integrating insights from theories of cognitive control and incorporating them into a philosophical account of intentions, we propose a way of thinking about the distribution of cognitive control resources as something the agent does. -/- Article 2 argues that a classic argument concerning luck, originally aimed at libertarianism, generalises beyond any specific theory of free will, and regardless of whether determinism or indeterminism is true. I call this mental luck. Because we all make decisions under conditions of relative uncertainty and limited information, it is possible for an agent to make decisions that are contrary to their own motivation. In such situations, it may be a matter of luck whether the agent makes the right decision. Mentally lucky decisions are not rationally governed by attitudes within the agent's perspective, and thus, may be indistinguishable from unlucky ones. From the perspective of the agent, such decisions may resemble the outcome of a lottery. Therefore, mental luck poses a challenge to most prominent theories of free action and moral responsibility. -/- Finally, article 3 engages with the issue of resultant luck, namely luck in how things turn out. Resultant luck raises a challenge for theories of moral responsibility because its existence suggests that one may be responsible for factors beyond one’s control. Prominent responses to resultant luck led to a choice between internalism and scepticism. I argue that familiar cases of resultant luck are based on the assumption that actions are events. Instead, I propose an alternative ontology of action as an ongoing goal-directed process with a many-shots structure. Described this way, cases of resultant luck are not representative of ordinary action. The proposal of action as a many-shots process is consistent with predictive coding, a cognitive architecture which centres around error minimisation. Under this framework, cases of resultant more luck are no longer failures of action, but rather anticipated errors to be settled within the ordinary process of action. (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)

-/- 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)

The Violation of the Absolute Law of Free Will: The Consequences of Misinformation and the Flaws in Freedom of Speech -/- Introduction -/- Free will is often regarded as humanity’s defining characteristic—the ability to make choices based on conscious thought, personal experience, and available information. However, free will is not merely about the freedom to choose; it is intrinsically tied to the accuracy and reliability of the information upon which those choices are made. The absolute law of free will, when (...) correctly understood, dictates that human decision-making must be 100 percent dependent on correct information. Any deviation from this principle, through misinformation, disinformation, or ignorance, constitutes a violation of this law and results in imbalanced, often detrimental outcomes for individuals and society as a whole. -/- Complicating this issue is the modern interpretation and implementation of freedom of speech and expression. While these freedoms are fundamental to democratic societies, they come with inherent flaws when unchecked. The unregulated dissemination of false or misleading information under the guise of free speech creates significant challenges in maintaining the integrity of information and, consequently, free will. -/- The Foundation of Free Will: Correct Information -/- The exercise of genuine free will requires access to accurate, reliable information. Decisions made under false pretenses or incomplete knowledge are not truly free but are instead manipulated or constrained by external distortions. The mind operates like a system that processes inputs (information) to generate outputs (decisions and actions). If the input is flawed, the output will inevitably be compromised. -/- For instance, when individuals base their choices on misinformation—such as health-related decisions influenced by false medical advice—they act under the illusion of free will. However, their actions, though seemingly voluntary, are dictated by incorrect data. This demonstrates that true free will can only exist when individuals are fully informed by verifiable facts. -/- The Law of Karma and the Feedback Mechanism of Information -/- The universal law of karma, which involves the principle of cause and effect, also applies to the relationship between free will and information. Every decision and action causes a ripple effect that influences future outcomes. When decisions are made based on falsehoods, the resulting negative consequences, such as social conflict, health crises, and societal instability, reflect the karmic response to the imbalance created by misinformation. -/- Information functions as a feedback mechanism within societal systems. When this feedback loop is polluted with inaccuracies, the entire system becomes unstable. For example, the propagation of false information about climate change has delayed necessary global actions, causing environmental deterioration. The violation of free will through the spread of misinformation disrupts the natural balance of societal decision-making, leading to long-term consequences that extend beyond individual choices. -/- The Flaws In the Laws of Freedom of Speech and Expression -/- Freedom of speech and expression is a cornerstone of democratic societies, allowing individuals to voice their opinions, share ideas, and engage in open discourse. However, this freedom is not absolute and, when exercised irresponsibly, can directly violate the absolute law of free will. The flaws within these legal frameworks become evident when misinformation, disinformation, and harmful propaganda are disseminated without accountability. -/- 1. The Spread of Misinformation and Disinformation The unrestricted nature of freedom of speech has led to the proliferation of misinformation across social, political, and scientific domains. False narratives regarding health, such as anti-vaccine propaganda, have endangered public health and undermined free will by providing individuals with inaccurate information on which to base their decisions. -/- 2. The Manipulation of Public Opinion Political propaganda, fake news, and conspiracy theories exploit the principles of free speech to manipulate public perception. Authoritarian regimes and interest groups often use misinformation to influence elections, sway public opinion, and maintain power. When people make decisions based on manipulated narratives, their free will is compromised. -/- 3. The Role of Social Media and Digital Platforms Social media platforms, while fostering global communication, have amplified the spread of misinformation. Algorithms designed to maximize engagement often prioritize sensational or misleading content over factual information. The lack of regulatory measures on these platforms creates an environment where misinformation spreads more rapidly than truth, resulting in collective decision-making that violates the law of balance. -/- 4. The Challenge of Regulation Regulating freedom of speech without infringing upon individual liberties presents a significant challenge. Striking a balance between protecting free expression and preventing the spread of false information requires well-defined legal frameworks, global cooperation, and ethical considerations. -/- 5. Hate Speech and Its Societal Impact The misuse of freedom of speech to propagate hate speech, incite violence, and promote division disrupts societal harmony. Misinformation about certain groups, ethnicities, or religions fosters discrimination and social unrest, further violating the balance required for the proper exercise of free will. -/- The Societal Impact of Misinformation -/- Misinformation has far-reaching effects on societal structures, particularly in democratic systems where public decision-making relies heavily on the availability of correct information. The manipulation of information through propaganda, conspiracy theories, and biased media distorts collective free will, leading to decisions that do not reflect the genuine, informed will of the people. -/- Elections, for instance, are a prime example. When voters are misled by false narratives or deceptive political strategies, their electoral decisions are no longer expressions of true free will. The outcomes of such manipulated decisions often result in societal discord, poor governance, and disillusionment with democratic processes. In this way, misinformation violates the collective free will of entire populations. -/- The Role of Education in Upholding the Absolute Law of Free Will -/- To protect and uphold the absolute law of free will, society must prioritize a holistic educational system that emphasizes critical thinking, information literacy, and scientific inquiry. Education should equip individuals with the ability to discern fact from fiction, understand the sources of information, and recognize the potential biases inherent in various media channels. -/- An educational system grounded in the universal law of balance in nature can act as a safeguard against misinformation. By teaching individuals how to process information through rational, evidence-based methods, we can foster a societal environment where decisions are consistently made based on truth. This, in turn, ensures that free will is exercised in its purest form. -/- The Role of Artificial General Intelligence (AGI) in Preserving Free Will -/- The rapid advancement of AGI presents both challenges and opportunities regarding the preservation of free will. If AGI systems are designed based on the universal formula that emphasizes accurate information, natural balance, and critical thinking, they can become powerful tools for protecting free will. These systems can help filter misinformation, verify facts, and provide individuals with reliable data upon which to base their decisions. -/- However, the potential misuse of AGI, such as the intentional spread of disinformation for political or economic gain, represents a significant risk. Ensuring that AGI adheres to principles grounded in the universal law of balance and the law of cause and effect is essential to maintaining the integrity of human decision-making. -/- Conclusion -/- The absolute law of free will is inseparable from the requirement for correct information. Any decision made under the influence of misinformation, disinformation, or ignorance represents a fundamental violation of this law. The consequences of such violations are evident in societal conflicts, poor health outcomes, environmental degradation, and governance failures. -/- The flaws Inherent in the laws surrounding freedom of speech and expression further complicate this issue. While these freedoms are essential for societal growth and the exchange of ideas, their misuse creates significant obstacles to the proper exercise of free will. To safeguard free will, society must invest in education, promote information literacy, implement responsible regulations for free speech, and ensure the ethical development of AGI systems. -/- By adhering to the principle that free will is 100 percent dependent on correct information, humanity can create a more stable, balanced, and harmonious society, where individuals and communities alike can make decisions that align with the natural laws governing human behavior and societal development. -/- . (shrink)

Why Governments Become Corrupt: The Role of Power, Education, and Moral Values -/- Corruption is one of the most persistent problems in governance, affecting societies across different political and economic systems. It undermines democracy, weakens institutions, and diverts resources meant for public welfare into private hands. While corruption is often associated with greed and abuse of power, its roots go much deeper, extending to failures in the educational system and the erosion of family moral values. This essay explores the reasons (...) behind government corruption and how systemic failures in education and morality contribute to its persistence. -/- 1. Power Without Accountability -/- One of the primary reasons governments become corrupt is the unchecked power held by officials. When political leaders and bureaucrats operate without sufficient oversight, they are more likely to misuse public funds, manipulate policies, and engage in bribery or favoritism. In many countries, weak democratic institutions fail to impose consequences on corrupt individuals, allowing them to act with impunity. The absence of transparency in decision-making processes further enables corruption to thrive, as citizens are kept in the dark about how their governments operate. -/- 2. Weak Legal and Political Institutions -/- Corruption flourishes in environments where legal frameworks exist but are not enforced. Many countries have anti-corruption laws, yet enforcement is selective or non-existent. This failure is often due to political interference in the judiciary, where corrupt leaders appoint judges who will protect them from prosecution. Furthermore, when law enforcement agencies themselves are corrupt, they fail to investigate and punish those in power. This creates a vicious cycle where corruption becomes the norm rather than the exception. -/- 3. The Role of Greed and Self-Interest -/- Human nature, particularly the pursuit of wealth and status, plays a significant role in government corruption. Many officials prioritize their personal and political interests over the welfare of the people they serve. Bribery, embezzlement, and fraud become tempting options for those seeking to enrich themselves at the expense of society. Additionally, political patronage—where politicians use their power to reward loyal supporters with government positions or contracts—further entrenches corruption. -/- 4. The Failure of the Educational System -/- One of the overlooked causes of corruption is the failure of the educational system to instill ethical values and critical thinking. Education is supposed to shape responsible citizens, but in many countries, the system is focused on rote learning rather than teaching morality, civic responsibility, and ethical leadership. Schools and universities often do not provide students with the tools to question authority, recognize corruption, or demand transparency from their leaders. -/- Moreover, when the education system itself is corrupt—through bribery in admissions, fake diplomas, or unqualified teachers—it sets a dangerous precedent. Students grow up believing that success can be achieved through dishonest means, reinforcing the idea that corruption is an acceptable part of life. Without a strong moral foundation in education, future generations are more likely to participate in or tolerate corrupt practices. -/- 5. The Decline of Family Moral Values -/- Family plays a crucial role in shaping an individual’s ethical beliefs and behaviors. However, in many societies, traditional moral values that emphasize honesty, integrity, and accountability are declining. Parents, preoccupied with economic survival, may fail to teach their children the importance of moral principles. In some cases, families themselves engage in corrupt behaviors—such as paying bribes to secure jobs or influencing government officials for personal gain—sending the message that corruption is a necessary survival strategy. -/- Religious and cultural institutions, which once played a significant role in promoting ethical behavior, have also lost influence in many societies. As materialism and individualism grow stronger, the collective responsibility for upholding moral values weakens. When individuals lack strong moral guidance from their families and communities, they are more likely to justify corrupt actions when they gain positions of power. -/- 6. Economic Pressures and Low Salaries -/- Economic hardship can also drive corruption, especially in developing nations where government employees are underpaid. When officials struggle to meet their basic needs, they may resort to accepting bribes, embezzling funds, or engaging in illicit activities to supplement their income. In such environments, corruption becomes a survival mechanism rather than just a moral failure. -/- 7. Corporate Influence and Political Lobbying -/- The influence of powerful corporations over government policies is another major driver of corruption. Large businesses often fund political campaigns, expecting favorable policies in return. This results in leaders prioritizing corporate interests over public welfare. When governments are captured by private interests, policies that should benefit the majority are distorted to serve a wealthy elite. -/- 8. The Lack of Civic Engagement and Public Awareness -/- When citizens do not actively participate in governance or demand accountability, corrupt leaders face little resistance. A disengaged population allows corruption to thrive because there is no pressure for change. In many cases, people feel powerless or fear retaliation for speaking out against corrupt officials. Strengthening civic awareness through education, media, and public activism is essential in the fight against corruption. -/- Solutions: Restoring Integrity Through Education and Morality -/- To combat corruption effectively, reforms must address not only political and legal structures but also educational and moral foundations: -/- Strengthening the Educational System: Schools must incorporate ethics, civic responsibility, and critical thinking into their curriculum. Teachers should emphasize honesty and accountability, ensuring that students understand the long-term consequences of corruption. -/- Rebuilding Family Moral Values: Families must take a more active role in teaching children about integrity and social responsibility. Parents should set examples by refusing to participate in corrupt practices. -/- Enforcing Strong Anti-Corruption Laws: Governments must ensure that laws against corruption are applied equally, regardless of political or economic status. Independent judicial bodies should oversee investigations and prosecutions. -/- Improving Transparency in Governance: Public access to government transactions and decision-making processes must be expanded to reduce opportunities for corruption. Digital tools, such as open data platforms, can help track government spending and prevent misuse of funds. -/- Encouraging Citizen Participation: People must be empowered to hold their leaders accountable. This includes supporting investigative journalism, encouraging whistleblowers, and engaging in peaceful protests or advocacy movements. -/- Conclusion -/- Government corruption is a complex issue rooted in systemic failures, economic pressures, and ethical erosion. While power, greed, and weak institutions contribute to corruption, the failure of the educational system and the decline of moral values play an equally significant role. Addressing corruption requires a multi-faceted approach that not only strengthens laws and institutions but also reforms education and restores ethical foundations within families. Only through a collective effort to instill integrity at all levels of society can corruption be effectively minimized, paving the way for just and accountable governance. -/- . (shrink)

If this can be seen as a long way from the beginning of the ancient history, where humans have envisioned different new things and then invented them to make their life’s working smoother and easier, then it can be found that they have attributed their discoveries to various aspects and names of Gods and tried to signify their belief in the form of portraying the God’s powers through the nature of their discovery. Rather, in much modern times, when humans have (...) developed the natural insights and prorated those in the form of a much more logically biased discovery, then, the atheists have started to dominate the scientific arena for their foreplay in the work of their discoveries. However, as time passes by, five special types of research communities have gathered to allocate their discovered data’s in the respective norms as such, i) Atheists to whom, there is in essence no God and nothing in this universe can be attributed to them. ii) Believer of only one God as a whole, where the principle of religious biasing is effluent and supreme in their regards of the physical laws associated with the life and stimuli, iii) Believer of multiple God’s as a whole which poses no such scientific evaluation but can be thought of as a conjugate mechanism for the creator of the universe, iv) A divine supreme, where there is exactly no God, but the whole universe is a manifestation of the nature, where nature indirectly focuses the presence of God’s or the supreme creator that maintains symmetry and working of the universe, v) The not-so-sure about mechanism of the God’s presence, where the researcher sometimes tends to belief in God when something magical happens and attribute all to their divine grace, or in times of failures where they accused them for not being philosophically intrinsic as to their own needs, and in times with the believe that, ‘we won’t believe what we can’t see!’, either in the middle of the good or bad moments or in general in a casual and carefree mode. But, this should be kept in mind, that, the Eastern mysticism has always signifies God’s action in terms of every scientific actions with a proper mythological essence which when accompanied by knowledge produces something so scientific in the ancient of the days, that modern day researchers also have had no options left than to attribute affirmation to the fantastic achievements in the ‘so’ ancient times discovery with a strict modern effluence. Therefore, to model this paper, I have gathered data’s and ideas from researchers of various fields mostly (PhDs) in their respective discipline, so as to emulate their minds in the norms of God and its associated beliefs. (shrink)

Purpose of Review Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is identified from Wuhan, China, and has spread almost worldwide. Recently, the newly identified SARS-CoV-2 has been confirmed to kill millions of people worldwide and is dangerous to society health, survival, and livelihood. The people with cardiovascular problems are noticed as most common patients of coronavirus disease 2019 (COVID-19). There is a greater risk of mortality and morbidity in these patients than other patients of COVID-19. In the heart, expressed angiotensin-converting enzyme (...) 2 (ACE2) and response effect of hyperactivity with angiotensin II associated to the renin-angiotensin mechanism are key factors of hypertension, atherosclerosis, and congestive heart failure. -/- Recent Findings Mortality rates have been observed about 10.5% cases in patients with cardiovascular disease; however, a mortality rate of 52% was recorded in patients with heart failure, while 12% recovered ultimately. The occupancy of intense injury controlled by troponin elevation was a noteworthy factor in relation to mortality. Among 187 patients infected with SARS-CoV-2, about 35% were diagnosed with cardiovascular disease (CVD) history and 28% with raised troponin. Troponin elevation was identified more frequently (55%) in patients with cardiovascular diseases. Mortality rate in patients without cardiovascular diseases and normal troponin was 7.6%, normal troponin and cardiovascular disease with 13.3%, augmented troponin and without cardiovascular disease 37.5%, however 69.4% among cardiovascular disease and advanced troponin. -/- Summary The study reflected a significant association of case fatality rate (CFR) to COVID-19 patients with cardiovascular diseases which supposed to be the most common dangerous risk factor and health challenge during the current pandemic situation. (shrink)

According to statistics, there is an increasing gun-related deaths, violence and trafficking of small arms are emergent consequents of failure towards gun regulation and irresponsible gun ownership worldwide. Thus, this study was conducted to examine the implementation of the Gun Control Policy in Caraga Region focusing on the aspect of enforcement and monitoring. Also, the study aimed to investigate the problems encountered in the implementation of the gun control policy in enforcement and monitoring with the gun owners/operators and PNP (...) personnel as respondents. This study was conducted using the descriptive correlational research design. The study revealed the following findings: Majority of the Gun Operator/Owner respondents are college level, employed to private institutions who owned 1 to 2 guns, license for 1-5 years, mostly under type-1 category. For the PNP Personnel respondents, most of them are purely Baccalaureate holders who served the organization for 6-10 years and have 5 to 10 years’ experience as licensing officers. In terms of the enforcement and monitoring of the gun control policies, the respondents basically rated it as Highly Implemented. On the test of significance, there was a significant difference on the assessment of the respondents in gun control policy monitoring but showed to have no significant difference on the respondent’s assessment in enforcement. Both Gun owners and PNP respondents considered the problems encountered in enforcement and monitoring as highly prevalent problems. On the test of significance, there was no significant difference in the assessment of the respondents for both enforcement and monitoring of Gun Control policies. On the test of significant relationship, there was a significant relationship on the Gun control policies enforcement and monitoring with its problems encountered. It can be concluded that the Gun Control policies were fairly implemented by the government despite the challenges like the problems encountered in its enforcement and monitoring. The problems encountered in enforcement and monitoring were highly prevalent thus it needs serious actions by the PNP organization. It can further be concluded that there is a correlation between the Gun control policies and its problems encountered. Thus, the PNP must conduct series of orientation and forum among the gun owners / operators to strengthen the implementation of the gun control policies, must adopt technology in a form of online app design to hasten the documentation and tracing of expired gun licenses, create more information campaign to prevent gun violence in the future maximizing various platforms, must create “hotline” call center as support mechanism in monitoring unregistered and lost firearms and create online gun licensing system. (shrink)

Are physics and chemistry sufficient to provide a basis for a theory of everything? The worldview of materialist naturalism that forms the foundation of NeoDarwinian evolution, Big Bang cosmogony, and molecular biology in general has been subjected to challenge for its monumental failure to explain life, consciousness and other mind-related aspects of reality. Two recent books, Why Evolution is True by Jerry Coyne [1], and Thomas Nagel’s Mind and Cosmos: Why the Materialist NeoDarwinian Conception of Nature Is Almost Certainly (...) False [2], both authors being atheists, reflect the deep rift we find, not only in the religious conflict between creation and evolution, but in the fundamental awareness we all have that we are more than just molecular matter. This common sense understanding can only escape the notice of a particularly shallow ideological dogmatism that insists it has all the answers based solely on its unprecedented technological success. Science has come to represent two different things: (a) a body of knowledge, and (b) a method for acquiring knowledge. The problem arises when it is forgotten that there is no independent body of knowledge for science apart from its method – it keeps changing according to the results of the latest findings of the scientific method. The method is not to be abandoned because of those who would like to replace it with a fixed body of knowledge, which then becomes ideology. If biogenesis is hypothesized as the law of Nature, and we observe that life comes from pre-existing life in all our experience, while the hypothesis of abiogenesis, that life comes from matter, is never backed by any observation, then according to the scientific method—which one is to be accepted as true scientific knowledge? Obviously, the one backed by empirical observation. It is necessary to get free of ideological “knowledge,” and return to science as a method for gathering evidence that may lead to conclusions beyond the material naturalist view of Nature, and conforms to what we experience and rationally understand about the world in which we live. (shrink)

The epistemic theory of causality views causality as a tool that helps us to predict, explain and control our world, rather than as a relation that exists independently of our epistemic practices. In this chapter, we first provide an introduction to the epistemic theory of causality. We then outline four considerations that motivate the epistemic theory: the failure of standard theories of causality; parsimony; the epistemology of causality; and neutrality. We illustrate these four considerations in the contexts of the (...) social sciences and the cognitive sciences. We argue that the epistemic theory provides a very natural account of causality across these contexts. (shrink)

This paper adds to the philosophical literature on mechanistic explanation by elaborating two related explanatory functions of idealisation in mechanistic models. The first function involves explaining the presence of structural/organizational features of mechanisms by reference to their role as difference-makers for performance requirements. The second involves tracking counterfactual dependency relations between features of mechanisms and features of mechanistic explanandum phenomena. To make these functions salient, we relate our discussion to an exemplar from systems biological research on the mechanism for (...) countering heat shock—the heat shock response system—in Escherichia coli bacteria. This research also reinforces a more general lesson: ontic constraint accounts in the literature on mechanistic explanation provide insufficiently informative normative appraisals of mechanistic models. We close by outlining an alternative view on the explanatory norms governing mechanistic representation. (shrink)

The ontic conception of scientific explanation has been constructed and motivated on the basis of a putative lexical ambiguity in the term explanation. I raise a puzzle for this ambiguity claim, and then give a deflationary solution under which all ontically-rendered talk of explanation is merely elliptical; what it is elliptical for is a view of scientific explanation that altogether avoids the ontic conception. This result has revisionary consequences for New Mechanists and other philosophers of science, many of whom have (...) assimilated their conception of explanation to the ontic conception. (shrink)

We sketch the mechanistic approach to levels, contrast it with other senses of “level,” and explore some of its metaphysical implications. This perspective allows us to articulate what it means for things to be at different levels, to distinguish mechanistic levels from realization relations, and to describe the structure of multilevel explanations, the evidence by which they are evaluated, and the scientific unity that results from them. This approach is not intended to solve all metaphysical problems surrounding physicalism. Yet it (...) provides a framework for thinking about how the macroscopic phenomena of our world are or might be related to its most fundamental entities and activities. (shrink)

The Higgs mechanism is an essential but elusive component of the Standard Model of particle physics. Without it Yang‐Mills gauge theories would have been little more than a warm‐up exercise in the attempt to quantize gravity rather than serving as the basis for the Standard Model. This article focuses on two problems related to the Higgs mechanism clearly posed in Earman’s recent papers (Earman 2003, 2004a, 2004b): what is the gauge‐invariant content of the Higgs mechanism, and what (...) does it mean to break a local gauge symmetry? (shrink)

According to the Market Failures Approach to business ethics, beyond-compliance duties can be derived by employing the same rationale and arguments that justify state regulation of economic conduct. Very roughly the idea is that managers have a duty to behave as if they were complying with an ideal regulatory regime ensuring Pareto-optimal market outcomes. Proponents of the approach argue that managers have a professional duty not to undermine the institutional setting that defines their role, namely the competitive market. This answer (...) is inadequate, however, for it is the hierarchical firm, rather than the competitive market, that defines the role of corporate managers and shapes their professional obligations. Thus, if the obligations that the market failures approach generates are to apply to managers, they must do so in an indirect way. I suggest that the obligations the market failures approach generates directly apply to shareholders. Managers, in turn, inherit these obligations as part of their duties as loyal agents. (shrink)

This paper explores what happens when artists fail to execute their goals. I argue that taxonomies of failure in general, and of failed-art in particular, should focus on the attempts which generate the failed-entity, and that to do this they must be sensitive to an attempt’s orientation. This account of failed-attempts delivers three important new insights into artistic practice: there can be no accidental art, only deliberate and incidental art; art’s intention-dependence entails the possibility of performative failure, but (...) not of failed-art; and art’s intention-dependence is perfectly compatible with the role that luck plays in artistic creation. (shrink)

This paper considers the issue of translation failure between theories from the perspective of a modified causal theory of reference. It is argued that translation failure between theories is in fact a consequence of such a modified causal theory of reference. The paper attempts to show what is right about the incommensurability thesis from the perspective of such a theory of reference. Since relations of co-reference may obtain between theories in the absence of translation, incomparability of content does (...) not follow from failure of translation. (shrink)

Philosophers of psychology debate, among other things, which psychological models, if any, are (or provide) mechanistic explanations. This should seem a little strange given that there is rough consensus on the following two claims: 1) a mechanism is an organized collection of entities and activities that produces, underlies, or maintains a phenomenon, and 2) a mechanistic explanation describes, represents, or provides information about the mechanism producing, underlying, or maintaining the phenomenon to be explained (i.e. the explanandum phenomenon) (Bechtel (...) and Abrahamsen 2005; Craver 2007). If there is a rough consensus on what mechanisms are and that mechanistic explanations describe, represent, or provide information about them, then how is there no consensus on which psychological models are (or provide) mechanistic explanations? Surely the psychological models that are mechanistic explanations are the models that describe, represent, or provide information about mechanisms. That is true, of course; the trouble arises when determining what exactly that involves. Philosophical disagreement over which psychological models are mechanistic explanations is often disagreement about what it means to describe, represent, or provide information about a mechanism, among other things (Hochstein 2016; Levy 2013). In addition, one's position in this debate depends on a host of other seemingly arcane metaphysical issues, such as the nature of mechanisms, computational and functional properties (Piccinini 2016), and realization (Piccinini and Maley 2014), as well as the relation between models, methodologies, and explanations (Craver 2014; Levy 2013; Zednik 2015). Although I inevitably advocate a position, my primary aim in this chapter is to spell out all these relationships and canvas the positions that have been taken (or could be taken) with respect to mechanistic explanation in psychology, using dynamical systems models and cognitive models (or functional analyses) as examples. (shrink)

I set out the standard view about alleged examples of failure of transmission of warrant, respond to two cases for the view, and argue that the view is false. The first argument for the view neglects the distinction between believing a proposition on the basis of a justification and merely having a justification to believe a proposition. The second argument for the view neglects the position that one's justification for believing a conclusion can be one's premise for the conclusion, (...) rather than simply one's justification for the premise. Finally, the view is false since it is inconsistent with the closure of knowledge as closure is properly understood. (shrink)

In this paper we defend the view that mechanisms are underpinned by networks of difference-making relations. First, we distinguish and criticise two different kinds of arguments in favour of an activity-based understanding of mechanism: Glennan’s metaphysics- first approach and Illari and Williamson’s science-first approach. Second, we present an alternative difference-making view of mechanism and illustrate it by looking at the history of the case of scurvy prevention. We use the case of scurvy to argue that evidence for a (...) mechanism just is evidence for difference-making relations. (shrink)

This paper argues that mechanism, occasionalism and finality (the acceptance of final causes) can be and were de facto integrated into a coherent system of natural philosophy by Johann Christoph Sturm (1635–1703). Previous scholarship has left the relation between these three elements understudied. According to Sturm, mechanism, occasionalism and finality can count as explanatorily useful elements of natural philosophy, and they might go some way to dealing with the problem of living beings. Occasionalism, in particular, serves a unifying (...) ground: It will be shown that occasionalism can account for the problems of the source and transmission of motion that mechanism faces, while at the same time explaining the finality of non-rational living beings as designed by God. (shrink)

In this paper I draw attention to a peculiar epistemic feature exhibited by certain deductively valid inferences. Certain deductively valid inferences are unable to enhance the reliability of one's belief that the conclusion is true—in a sense that will be fully explained. As I shall show, this feature is demonstrably present in certain philosophically significant inferences—such as GE Moore's notorious 'proof' of the existence of the external world. I suggest that this peculiar epistemic feature might be correlated with the much (...) discussed phenomenon that Crispin Wright and Martin Davies have called 'transmission failure'—the apparent failure, on the part of some deductively valid inferences to transmit one's justification for believing the premises. (shrink)

When discussing the safety of research subjects, including their exploitation and vulnerability as well as failures in clinical research, recent commentators have focused mostly on countries with low or middle-income economies. High-income countries are seen as relatively safe and well-regulated. This article presents irregularities in clinical trials in an EU member state, Poland, which were revealed by the Supreme Audit Office of Poland (the NIK). Despite adopting many European Union regulations, including European Commission directives concerning Good Clinical Practice, these irregularities (...) occurred. Causes as well as potential solutions to make clinical trials more ethical and safer are discussed. (shrink)

According to mainstream philosophical views causal explanation in biology and neuroscience is mechanistic. As the term ‘mechanism’ gets regular use in these fields it is unsurprising that philosophers consider it important to scientific explanation. What is surprising is that they consider it the only causal term of importance. This paper provides an analysis of a new causal concept—it examines the cascade concept in science and the causal structure it refers to. I argue that this concept is importantly different from (...) the notion of mechanism and that this difference matters for our understanding of causation and explanation in science. (shrink)

On an account of virtue as skill, virtues are acquired in the ways that skills are acquired. In this paper I focus on one implication of that account that is deserving of greater attention, which is that becoming more skillful requires learning from one’s failures, but that turns out to be especially challenging when dealing with moral failures. In skill acquisition, skills are improved by deliberate practice, where you strive to correct past mistakes and learn how to overcome your current (...) limitations. A similar story applies to virtue acquisition, as moral failures will be a part of anyone’s life, and we will all have to learn from these experiences. However, despite the importance of being able to learn from our mistakes, this is very difficult in practice, given that failure of any kind can be distressing, and especially so for moral failure. The distress created by a recognition of moral failure often prompts responses of anger, avoidance, or defensiveness; rather than attempts to make amends and when necessary to work on self-improvement. The most potentially distressing response to moral failure is shame, as it is often associated with defensiveness. It is here where emotion regulation will be important to manage that distress, and I focus on the skill of emotion differentiation. I argue that emotion differentiation is a promising strategy for distinguishing the emotions we may experience in the wake of failure, including shame, and to encourage those emotions that motivate self-improvement. Thus, emotion regulation is important for virtue acquisition. (shrink)