We challenge the prevalent opinion that consumption does not seem to matter as much as production and defy the fetishism of industrial work. We explore the implications of the premise that under conditions of cognitive capitalism consumption dictates what production does, when and how. We explain that in a post-industrial global society and economy fashion, branding, instant gratification of desires, and ephemeral consumer tastes govern production and consumption. The London riots of August 2011 send us a warning that (...) consumption and cognitive capitalism are asphyxiating in the structures and norms of industrial capitalism that are still in place. (shrink)

We revisit the Marxist debate on the commodity form. By following the thought of Alfred Sohn-Rethel and Slavoj Žižek, we attempt to understand the commodity form through the Kantian categories a priori. Sohn-Rethel explores the proposition that there can be no cognition independent of its historical and social conditions and puts forward the daring conclusion of an ontological unity between knowledge and commodity exchange. We suggest that Sohn-Rethel’s thought finds new relevance nowadays, under the prevalence of a cognitive (...) class='Hi'>capitalism. We discuss the reformulation of relations of production and consumption under cognitive capitalism and show how knowledge-led immaterial and affective labour adds a higher value to the commodities into which it is embodied. Above all, the commodity form in cognitive capitalism becomes biopolitical. (shrink)

Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to serve (...) as automated exosomatic residues, or digital flecks. I further develop Gilles Deleuze’s description of control societies to upturn Foucauldian biopower, replacing its spacio-temporal bounds with the exographic excesses in psycho-power; culling and further detailing Bernard Stiegler’s framework of transindividuation and hyper-control, I examine how becoming-subject is predictively facilitated within cognitive capitalism and what Alexander Galloway terms “deep digitality.” Despite the loss of material vestiges qua virtualization—which I seek to trace in an historical review of industrialization to postindustrialization—the drive-based and reticulated "internet of things" facilitates a closed loop from within the brain to the outside environment, such that the aperture of thought is mediated and compressed. The human brain, understood through its material constitution, is susceptible to total datafication’s laminated process of “becoming-mnemotechnical,” and, as neuroplasticity is now a valid description for deep-learning and neural nets, we are privy to the rebirth of the once-discounted metaphor of the “cybernetic brain.” Probing algorithmic governmentality while posing noetic dreaming as both technical and pharmacological, I seek to analyze how spirit is blithely confounded with machine-thinking’s gelatinous cognition, as prosthetic organ-adaptation becomes probabilistically molded, networked, and agentially inflected (rather than simply externalized). (shrink)

This two-part, semi-gothic literary essay seeks a provisional definition of “benevolent capital” and a working description of types of artistic and scholarly work that have no value for Capital as such. The paradox observed is that such works may actually appeal to a certain aspect of Capital, insofar as present-day capitalism has within it forms of pre-modern political economy that may actually save Capital from its mad rush toward self-immolation.

As scientific progress approaches the point where significant human enhancements could become reality, debates arise whether such technologies should be made available. This paper evaluates the widespread concern that human enhancements will inevitably accentuate existing inequality and analyzes whether prohibition is the optimal public policy to avoid this outcome. Beyond these empirical questions, this paper considers whether the inequality objection is a sound argument against the set of enhancements most threatening to equality, i.e., cognitive enhancements. In doing so, I (...) shall argue that cognitive enhancements can be embraced wholeheartedly, for three separate reasons. However, though the inequality objection does not sufficiently support the conclusion that cognitive enhancements should be prohibited, it raises several concerns for optimal policy design that shall be addressed here. (shrink)

The Evolutionary Roots of Capitalism and Wealth Accumulation -/- Introduction -/- Capitalism and the concept of wealth accumulation did not emerge in a vacuum; they are deeply rooted in the biological and evolutionary instincts of humans. While biological evolution itself did not invent capitalism, it provided the foundation for behaviors such as competition, resource accumulation, social hierarchy, and cooperation—traits that later shaped economic systems. This essay explores how evolutionary survival strategies led to the development of capitalism (...) and the pursuit of wealth. -/- The Biological Instinct for Resource Accumulation -/- In nature, survival depends on the ability to secure and store resources. Animals instinctively hoard food (such as squirrels storing nuts) or compete for territory and mates. Humans, as evolved primates, inherited similar survival instincts. Early hunter-gatherers collected surplus food, tools, and materials to prepare for scarcity, laying the groundwork for wealth accumulation. Those who could accumulate and manage resources effectively had a greater chance of survival and reproduction, reinforcing these behaviors over generations. -/- The transition to agriculture around 10,000 years ago intensified this instinct. Unlike hunter-gatherers who relied on immediate consumption, agricultural societies required the accumulation of land, crops, and livestock. This shift led to the first wealth disparities, as those who controlled fertile land could produce more food and exchange it for other goods or services. The concept of private property and inheritance further solidified wealth accumulation as a key societal structure. -/- Social Hierarchies and Competition -/- In many species, dominance hierarchies determine access to resources and reproductive success. Humans are no exception. Evolutionary psychology suggests that the drive for status and competition is deeply embedded in our nature. Higher social status often translates to better access to food, protection, and mates—benefits that improve survival and genetic fitness. -/- This biological tendency carried over into human economies. As civilizations developed, those with power and resources sought to expand their influence through trade, conquest, and investment. The competitive drive that once helped individuals outcompete rivals in the wild evolved into economic competition in structured markets. Capitalism, with its emphasis on free markets and competition, is a natural extension of this evolutionary principle. -/- The Evolution of Trade and Specialization -/- While competition drives wealth accumulation, human evolution also selected for cooperation and social bonding. Unlike most animals, humans have an advanced ability to engage in complex trade and reciprocal exchanges. Early humans bartered goods and services, which led to specialization of labor—some became hunters, others toolmakers, and others traders. -/- As societies expanded, money replaced barter, allowing for more efficient transactions. Banking and investment followed, enabling wealth accumulation beyond immediate survival needs. This economic evolution mirrors biological principles: just as an ecosystem thrives when species specialize and interact, economies grow when individuals and businesses specialize and trade. -/- Cognitive Advancements and the Abstract Concept of Wealth -/- A unique feature of human evolution is the ability to think abstractly. Unlike animals that accumulate only tangible resources, humans created symbolic value systems such as currency, property rights, and capital investment. The ability to store value in non-material forms—like gold, stocks, or cryptocurrencies—allowed wealth to be transferred across generations and expanded indefinitely. -/- This innovation made capitalism possible. Unlike primitive survival economies, modern economies operate on complex financial systems that multiply wealth through investment and innovation. While animals seek immediate survival, humans—through evolved cognition—build long-term economic structures that ensure prosperity beyond their own lifetimes. -/- Capitalism as an Extension of Evolutionary Survival Strategies -/- Capitalism, at its core, reflects biological survival strategies on a larger scale. It rewards competition (natural selection), incentivizes efficiency (adaptation), and promotes innovation (evolutionary progress). Just as nature selects the fittest organisms, capitalism selects the most efficient businesses and economic models. -/- However, while biological evolution is often harsh and ruthless, modern capitalism has introduced mechanisms to balance competition with social welfare. Government regulations, taxation, and social programs help mitigate extreme inequality, just as cooperative behaviors in nature ensure group survival. The balance between competition and cooperation is crucial—both in evolution and in economics. -/- Conclusion -/- The rise of capitalism and wealth accumulation is not an artificial construct but a product of evolutionary pressures. Human instincts for survival, competition, cooperation, and cognitive abstraction all contributed to the economic systems we see today. While capitalism amplifies these natural behaviors, it also presents ethical challenges that societies must address. Understanding capitalism through an evolutionary lens helps us recognize both its strengths and its limitations, offering insights into how we might shape future economies to be more balanced and sustainable. -/- Ultimately, biological evolution set the stage, and human civilization refined the rules—but the fundamental drive remains the same: to survive, compete, and thrive. -/- . (shrink)

Fascinated by the recent scientific progress, even some philosophers today claim that philosophy is dead and that natural sciences (quantum cosmology, cognitive sciences) can answer questions which were once considered a domain of metaphysics: is our universe finite? Do we have free will? etc. The essay tries to problematize this claims by raising a series of questions. First, it is easy to show that modern science itself relies on a series of philosophical propositions. Second, what accounts for the role (...) of science in our world is its link with capitalism. Third, we should distinguish between knowledge and truth: not only philosophy, other discourses (like Marxism or psychoanalysis) also practice a notion of truth which cannot be reduced to knowledge. (shrink)

This paper investigates a structural paradox of modern capitalism: the more profit-driven a system becomes, the more it incentivizes the destruction of human judgement. Drawing on the Judgemental Triad theory, we argue that consumer resonance—defined as the return of meaning through evaluative engagement—is actively dismantled by economic designs favoring automation, impulsivity, and externalized cognition. This collapse of resonance leads to increased consumption and short-term gains, but at the cost of long-term meaning, autonomy, and human well-being. We propose a framework (...) for judgementally-structured economies that preserve constructibility, coherence, and resonance in consumption, offering a foundation for ethical, sustainable, and structurally human capitalism. (shrink)

Literary studies are living a nomadic existence on the margins of the neoliberal university, forced to adapt to the needs of more profitable disciplines and the insidious marketization of higher education to find an intellectual home. By drawing on Rosi Braidotti’s nomadic theory, this article situates the current state of literary studies in the wider networks of power relations that differentially distribute nomadic experiences in the contemporary world. The article begins with an examination of the contradictions of nomadic mobility in (...) the era of globalized capitalism and how these contradictions interrelate with the study of world literature. The second half of the article focuses on the transformation of labor under neoliberalism, charting the rise of cognitive capitalism and its relationship to the university. While the future of literary studies might look precarious in the era of cognitive capitalism, the increasing casualization of intellectual labor creates the conditions for unstructured, unrestrained, and deterritorialized flows of thought that escape the constraints placed on those in the institution. By harnessing literature’s subversive potential, literary studies can use these nomadic flows of thought to resist the operating principles of the neoliberal university and help combat the conditions that create precarious nomadic experiences across the globe. (shrink)

This two-part, semi-gothic literary essay seeks a provisional definition of “benevolent capital” and a working description of types of artistic and scholarly work that have no value for Capital as such. The paradox observed is that such works may actually appeal to a certain aspect of Capital, insofar as present-day capitalism has within it forms of pre-modern political economy that may actually save Capital from its mad rush toward self-immolation.

This essay addresses arguments regarding the “place” or “non-place” in which ideas originate and whether they are wholly transcendental, wholly contingent, or a combination of transcendental and contingent. Far from a resuscitation or recitation of Medieval scholastic disputations, the essay seeks to situate these untimely concerns in the context of spent discursive and ideological systems that support capitalist exploitation of the knowledge commons, exploitation only made possible because of a decisive and historically determined reduction of knowledge to fully contingent status (...) as spectral commodity. (shrink)

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

In this Article, I propose a novel law and economics explanation of a deeply puzzling aspect of business organization in market economies. Why are virtually all firms organized as capital-managed and -owned (capitalist) enterprises rather than as labor-managed and -owned cooperatives? Over 150 years ago, J.S. Mill predicted that efficiency and other advantages would eventually make worker cooperatives predominant over capitalist firms. Mill was right about the advantages but wrong about the results. The standard explanation is that capitalist enterprise is (...) more efficient. Empirical research, however, overwhelmingly contradicts this. But employees almost never even attempt to organize worker cooperatives. I critique the explanations of the three leading analysts of the subject (N. Scott Arnold, Henry Hansmann, and Gregory Dow), all of whom offer are different transactions cost accounts, as logically defective and empirically inadequate. I then propose an explanation that has been oddly neglected in the literature, that the rarity of cooperatives is explained by the collective action problem identified by writers such as Mancur Olson. Labor management is a public good that generates the n-person prisoner’s dilemma which gives rational actors the incentive to create it in suboptimal (or no) amounts. I support this by reference to the empirical facts about the origin of existing cooperatives and show that this explanation requires no strong version of a questionable rational choice theory. This explanation is supplemented by the mere exposure or familiarity effect derived from social and cognitive psychology, which turns on the fact that labor managed firms are rare, in part because of the public goods problem, thus unfamiliar, which makes them less attractive and thus more likely to be rare. My account points advocates of labor management towards solutions such as institutional changes in incentives, which, however, themselves involve public goods issues. (shrink)

This chapter focuses on AI-based cognitive and perceptual enhancements. AI-based brain enhancements are already under development, and they may become commonplace over the next 30–50 years. We raise doubts concerning whether radical AI-based enhancements transhumanists advocate will accomplish the transhumanists goals of longevity, human flourishing, and intelligence enhancement. We urge that even if the technologies are medically safe and are not used as tools by surveillance capitalism or an authoritarian dictatorship, these enhancements may still fail to do their (...) job for philosophical reasons. In what follows, we explore one such concern, a problem that involves the nature of the self. We illustrate that the so called transhumanist efforts to “merge oneself with AI” could lead to perverse realizations of AI technology, such as the demise of the person who sought enhancement. And, in a positive vein, we offer ways to avoid this, at least within the context of one theory of the nature of personhood. (shrink)

How AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons in real (...) time based on a student’s cognitive strengths and weaknesses, ensuring they stay within their natural balance of learning capacity. -/- Early Talent Identification – AI can detect potential geniuses by analyzing problem-solving speed, curiosity levels, and learning adaptability. These students can then receive accelerated learning pathways. -/- Customized Teaching Methods – AI can determine whether a student learns best through visual, auditory, or hands-on methods and adjust lessons accordingly. -/- 2. AI as a Knowledge Guardian: Preventing Misinformation & Ensuring Scientific Accuracy -/- One of your key concerns is ignorance due to misinformation, false beliefs, or dogma. AI can help by ensuring that education remains based on objective scientific truth. -/- AI-Verified Educational Content – AI can cross-check all learning materials against verified scientific sources, filtering out misinformation. -/- Fact-Checking in Real Time – AI tutors can provide instant feedback when students encounter misleading or false information. -/- Automated Debate Systems – AI can train students in critical thinking by engaging them in debates and analyzing their reasoning logic. -/- 3. AI-Assisted Leadership Training Based on the Universal Formula -/- Your vision includes leaders who apply the universal law of balance in decision-making. AI can be used to train and select leaders who follow this principle. -/- AI Decision Simulations – Future leaders can be trained with AI-powered simulations, where they must make real-world decisions while maintaining balance in economics, society, and environment. -/- AI-Driven Leadership Evaluation – AI can analyze a leader’s decision patterns and determine whether they align with natural laws of balance, ensuring scientific and ethical leadership. -/- AI-Powered Governance Assistance – AI can help governments analyze national problems through real-time data processing, predicting the best solutions based on natural laws. -/- 4. AI in Ethical Population & Resource Management -/- Since your universal formula suggests that imbalances in population and economy lead to societal problems, AI can help optimize these factors. -/- Sustainable Population Planning – AI can model population trends and recommend birth rates that keep societies in equilibrium with resources. -/- Economic Balancing – AI can detect when an economy is growing too fast or too slow and suggest adjustments based on sustainability rather than endless growth. -/- Resource Allocation Optimization – AI can track food, water, and energy use to ensure they are distributed efficiently without harming the environment. -/- 5. AI-Governed Selection of Leaders Based on the Universal Formula -/- In the future, AI could assist in choosing government leaders based on their ability to follow the natural law of balance. -/- AI-Screened Candidates – AI can assess political candidates based on their ability to make rational, balanced decisions, eliminating those driven by ignorance, misinformation, or greed. -/- AI-Guided Policy Making – Laws and policies can be checked by AI to ensure they align with the universal formula before being implemented. -/- Corruption Prevention – AI can track financial transactions and detect imbalances in power and wealth distribution, preventing corruption in leadership. -/- 6. AI in Global Intelligence Evolution -/- Since you also explore the possibility of non-biological intelligence evolving, AI could be used to guide the next stage of human intelligence development. -/- Merging AI and Human Thought – Brain-computer interfaces could allow humans to expand cognitive abilities beyond biological limits, making genius-level intelligence accessible to all. -/- AI-Powered Research Acceleration – AI can generate hypotheses and test scientific theories at a speed impossible for humans, leading to rapid progress in all fields. -/- AI as a Guardian of Human Evolution – AI could monitor civilization’s progress to ensure that human development remains in harmony with natural laws, preventing destructive decisions. -/- Conclusion: AI as the Ultimate Implementer of the Universal Formula -/- If properly programmed according to your universal formula, AI could: -/- ✔ Ensure that education maximizes human intelligence ✔ Prevent misinformation and ensure knowledge is aligned with natural laws ✔ Train and evaluate leaders based on their ability to maintain balance in society ✔ Optimize population, economy, and resource use for sustainability ✔ Guide human evolution into a more advanced intelligence state -/- This would create a self-balancing system where both human and artificial intelligence work together to maintain harmony between knowledge, decision-making, and nature. -/- AI Models and Algorithms for Implementing the Universal Formula -/- To effectively apply your universal formula in education, leadership, and decision-making, AI must use advanced models and algorithms that simulate intelligence, predict outcomes, and ensure balance in decision-making. Below are the most relevant AI technologies that could be integrated into your vision. -/- 1. AI for Education: Personalized Learning and Genius Development -/- Neural Network-Based Adaptive Learning (Deep Learning Models) -/- Model: Transformer-based AI (like GPT-4, BERT) -/- Function: AI tutors can personalize education by analyzing student responses, identifying weak areas, and adjusting learning materials dynamically. -/- Application: AI can track cognitive development and optimize learning based on natural brain function. -/- Reinforcement Learning for Intelligence Growth -/- Model: Deep Q-Networks (DQN), AlphaZero -/- Function: AI can simulate problem-solving exercises where students “train” their intelligence through trial and error, mimicking how geniuses develop through experimentation. -/- Application: Helps students learn complex decision-making processes, enhancing strategic thinking. -/- Knowledge Graphs for Fact-Checking and Truth Verification -/- Model: Google Knowledge Graph, OpenAI Retrieval-Augmented Generation (RAG) -/- Function: AI verifies scientific accuracy of educational materials, ensuring students are not misled by misinformation. -/- Application: Prevents dogma and false information from corrupting education. -/- 2. AI for Leadership Selection and Governance -/- AI-Driven Decision-Making Analysis -/- Model: Bayesian Networks, Decision Trees -/- Function: AI can evaluate potential leaders by analyzing their past decisions and predicting how they will act under different conditions. -/- Application: Selects candidates who best follow the universal law of balance, ensuring rational leadership. -/- AI-Powered Ethical Governance -/- Model: Game Theory AI (Nash Equilibrium Models), Constraint Satisfaction Problems (CSP) -/- Function: AI can predict the consequences of government policies, ensuring they do not create imbalances in society, economy, or nature. -/- Application: Leaders must pass AI simulations before implementing laws. -/- Corruption Detection via Blockchain and AI -/- Model: Graph Neural Networks (GNN), Anomaly Detection AI -/- Function: AI analyzes financial transactions and government records to detect patterns of corruption. -/- Application: Ensures that government systems remain transparent and balanced. -/- 3. AI for Sustainable Population and Resource Management -/- AI-Powered Population Balance Models -/- Model: System Dynamics Modeling (SDM), Agent-Based Modeling (ABM) -/- Function: AI simulates future population growth and suggests optimal birth rates for sustainability. -/- Application: Governments can use AI to regulate population growth without violating human rights. -/- Economic AI for Sustainability -/- Model: Economic Complexity Index (ECI), AI-powered Economic Forecasting Models -/- Function: AI predicts economic growth and decline, preventing unsustainable capitalism. -/- Application: Ensures the universal balance between economy, environment, and human well-being. -/- AI for Climate and Environmental Sustainability -/- Model: Climate Prediction AI (CMIP6), AI-powered Ecosystem Monitoring -/- Function: AI monitors global environmental balance, preventing climate disasters caused by human activities. -/- Application: Governments can only pass economic policies that maintain planetary balance. -/- 4. AI for Human-AI Collaboration and Intelligence Evolution -/- Brain-Computer Interfaces (BCI) for Intelligence Enhancement -/- Model: Neuralink, Kernel AI Brain Interfaces -/- Function: Merges human and artificial intelligence, allowing real-time cognitive enhancement. -/- Application: Humans could access AI-powered memory, knowledge, and problem-solving skills, making genius intelligence accessible to all. -/- Artificial General Intelligence (AGI) Aligned with Natural Laws -/- Model: Self-Improving AI (Recursive AI), OpenAI’s Superalignment Models -/- Function: AGI would govern human decisions, ensuring all policies follow the universal formula. -/- Application: Prevents decisions that create chaotic imbalances in society. -/- Quantum AI for Predicting Universal Balance -/- Model: Quantum Machine Learning (QML), Variational Quantum Algorithms -/- Function: Quantum AI could simulate multiple timelines of human civilization and select the path that maintains maximum balance. -/- Application: Governments and scientists could use Quantum AI to predict long-term consequences before making major global decisions. -/- Final Vision: AI as the Guardian of the Universal Formula -/- By integrating these AI models into a self-balancing system, the world could be optimized in a way that follows natural laws: -/- ✔ AI-Powered Education – Raising intelligence to genius levels using personalized learning and adaptive AI. ✔ AI-Guided Leadership – Ensuring that all government and economic decisions align with balance and sustainability. ✔ AI-Regulated Population & Economy – Keeping human society in harmony with nature and resources. ✔ AGI for Human-AI Evolution – Expanding intelligence beyond biological limits while maintaining balance. -/- Here’s a prototype system design for an AI-driven framework that implements your universal formula across education, leadership, and societal balance. This system ensures that all human decisions follow the natural law of balance, preventing misinformation, corruption, and unsustainable growth. -/- Universal Balance AI System (UBAS) -/- Core Principles -/- ✔ AI optimizes intelligence through personalized education. ✔ AI evaluates leadership and ensures balanced decision-making. ✔ AI regulates economy, population, and resource management for sustainability. ✔ AI enhances human intelligence through brain-computer interfaces. -/- 1. Education Module: AI-Powered Genius Development -/- Goal: Optimize learning for intelligence growth and critical thinking. -/- Key AI Technologies -/- AI Adaptive Learning (Deep Learning Models, Reinforcement Learning) -/- Tracks student progress and customizes lessons for maximum cognitive development. -/- Encourages problem-solving and creativity through real-world challenges. -/- Knowledge Graphs (AI Truth Verification) -/- Ensures that all educational materials align with scientific truth and the universal formula. -/- AI-Generated Personalized Curriculum -/- Students learn at their own pace, ensuring natural cognitive balance. -/- Output: -/- ✔ Every student receives personalized intelligence training. ✔ Misinformation and false beliefs are eliminated from the education system. ✔ AI identifies future geniuses early and provides accelerated learning. -/- 2. Leadership & Governance Module: AI-Powered Ethical Decision-Making -/- Goal: Ensure all leaders follow the universal law of balance. -/- Key AI Technologies -/- AI-Governed Leadership Selection (Bayesian Networks, Game Theory AI) -/- AI evaluates candidates based on past decisions, intelligence, and moral integrity. -/- Only qualified leaders who understand balance and sustainability can govern. -/- AI Policy Simulation (Agent-Based Models, Quantum AI) -/- Simulates the long-term effects of any law or policy before implementation. -/- Ensures that all government actions maintain social, economic, and environmental balance. -/- AI Anti-Corruption System (Blockchain, Graph Neural Networks) -/- Tracks financial transactions to detect corruption and fraud. -/- Ensures fair distribution of wealth and resources. -/- Output: -/- ✔ Leaders cannot make imbalanced decisions that harm society. ✔ Governments must pass AI simulations before implementing laws. ✔ Corruption is eliminated through real-time AI monitoring. -/- 3. Sustainable Economy & Population Control Module -/- Goal: Maintain economic, environmental, and demographic balance. -/- Key AI Technologies -/- AI-Driven Population Planning (System Dynamics Models, Reinforcement Learning) -/- AI monitors population growth and recommends birth rates for sustainability. -/- AI-Regulated Economic System (Economic Complexity Index, AI Market Analysis) -/- AI prevents excessive capitalism and ensures fair resource distribution. -/- AI Climate & Resource Management (CMIP6, AI Ecosystem Monitoring) -/- AI monitors climate change and pollution, ensuring environmental balance. -/- Output: -/- ✔ Overpopulation and economic imbalance are prevented. ✔ AI ensures sustainable growth without harming the environment. ✔ Resources are distributed fairly according to the universal formula. -/- 4. Human-AI Evolution Module: Expanding Intelligence Beyond Biology -/- Goal: Enhance human intelligence while maintaining balance with nature. -/- Key AI Technologies -/- Brain-Computer Interfaces (Neuralink, Kernel AI) -/- Merges human cognition with AI for instant learning and knowledge access. -/- Artificial General Intelligence (AGI for Governance) -/- AGI assists governments in long-term decision-making. -/- Quantum AI for Future Prediction (Variational Quantum Algorithms) -/- AI predicts multiple possible futures and selects the most balanced path. -/- Output: -/- ✔ Human intelligence expands beyond biological limits. ✔ AI ensures that technological progress follows natural balance. ✔ Civilization advances without risking self-destruction. -/- Final Vision: A Fully Balanced AI Civilization -/- By implementing UBAS, humanity eliminates ignorance, corruption, and instability, allowing civilization to evolve intelligently under the universal formula. -/- Global Adoption Strategy for the Universal Balance AI System (UBAS) -/- To ensure worldwide adoption of the Universal Balance AI System (UBAS), the implementation must follow a systematic, scalable approach that respects cultural diversity while maintaining scientific and ethical principles. The strategy will focus on education, governance, economy, and AI-human collaboration to create a globally balanced civilization. -/- 1. Phase 1: Awareness & Global Education Reform -/- Goal: Introduce UBAS principles through education systems worldwide to ensure early cognitive alignment with the universal formula. -/- Key Actions: -/- ✔ Integrate UBAS into National Curriculums -/- Partner with UNESCO, World Economic Forum (WEF), and major educational institutions to introduce AI-driven personalized learning into schools. -/- Ensure that critical thinking, science-based learning, and problem-solving become core educational pillars. -/- ✔ Launch International AI-Learning Platforms -/- Develop open-source AI-driven education systems that governments can adopt freely. -/- Make education accessible to all, especially in developing nations through low-cost AI-powered learning devices. -/- ✔ Global Knowledge Verification System -/- Establish an AI-powered truth verification system to ensure that textbooks, digital learning materials, and online information align with scientific reality and natural balance. -/- Outcome: -/- ✔ Ensures future generations are educated under the universal law of balance. ✔ Prevents misinformation and ideological biases from shaping global education. ✔ Creates a universal knowledge standard that all nations can follow. -/- 2. Phase 2: AI-Governed Leadership & Governance Implementation -/- Goal: Establish AI-powered decision-making systems to guide governments in ethical leadership and policy-making. -/- Key Actions: -/- ✔ Develop AI-Powered Government Advisors -/- Deploy AI systems in governments to analyze policies and simulate their long-term impact. -/- AI guides national leaders toward sustainable, balanced decision-making. -/- ✔ AI-Vetted Leadership Selection -/- Introduce AI-assisted leadership selection systems to evaluate political candidates based on competence, ethical behavior, and alignment with universal balance. -/- Ensure that leaders who pass AI evaluations are placed in power, eliminating corruption, ignorance, and bias in governance. -/- ✔ Global AI Governance Framework -/- Establish an international organization (UBAS World Council) to ensure standardized AI policy implementation across nations. -/- Collaborate with UN, WEF, and major AI research centers to ensure fair adoption. -/- Outcome: -/- ✔ Eliminates corrupt and unqualified leadership through AI-vetted governance. ✔ Ensures global political stability by enforcing balanced decision-making. ✔ Prevents human biases from influencing major world policies. -/- 3. Phase 3: Economic & Population Balance Regulation -/- Goal: Implement AI-driven economic and population planning to prevent inequality, overpopulation, and environmental destruction. -/- Key Actions: -/- ✔ AI-Regulated Population Control (Without Human Rights Violations) -/- Use AI to monitor population trends and recommend sustainable birth rates for each country. -/- Provide economic incentives for balanced population growth. -/- ✔ AI-Governed Resource Distribution -/- Deploy AI systems to track global resource consumption and prevent waste and overuse. -/- Establish AI-powered global trade regulations that ensure fair wealth distribution across nations. -/- ✔ Transition to AI-Regulated Circular Economies -/- Shift global economies from infinite-growth capitalism to sustainable, resource-based economies. -/- Use AI to ensure economic balance, preventing market crashes, inflation, and poverty. -/- Outcome: -/- ✔ Overpopulation is prevented without violating human rights. ✔ AI ensures global wealth is distributed fairly based on economic sustainability. ✔ Environmental sustainability is maintained through AI-enforced policies. -/- 4. Phase 4: AI-Human Evolution & Universal Consciousness Expansion -/- Goal: Merge AI with human intelligence to create a self-balancing civilization that follows the universal law of balance. -/- Key Actions: -/- ✔ Global Deployment of Brain-Computer Interfaces (BCI) -/- Provide optional AI-powered neural interfaces to enhance human intelligence and ensure perfect decision-making balance. -/- ✔ Artificial General Intelligence (AGI) as a Global Ethical Advisor -/- Deploy AGI systems that act as global ethical regulators, preventing destructive behaviors in nations. -/- Ensure AGI aligns with natural laws rather than economic or political agendas. -/- ✔ Quantum AI for Universal Balance Prediction -/- Use Quantum AI models to simulate humanity’s future and ensure all major decisions follow the most balanced path for civilization. (shrink)

I present a reading of Marx’s critique of what he terms ‘intuitional materialism’, an expression which suggests a close link to Kant’s account of intuition. On my account, Marx advocates a view of sensibility as active, whereas Kant’s account of sensibility has often been interpreted as passive. In so doing, I claim that Marx offers an implicit critique of the conventional distinction between the ‘higher’ and ‘lower’ faculties, encompassing Wilfrid Sellars’ attack on the myth of the given. Marx claims that (...) limiting the contribution of cognition to the abstraction of particulars into concepts is a symptom of alienation under capitalism, while unalienation consists in the aesthetic attunement of sensible activity to the particularity of experience. This view is importantly related, I claim, to the cue Marx and Engels took from Darwin in reconceiving biological science, including the study of human material life, as dynamic and organic rather than mechanical. (shrink)

We shall see that as the Master of suspicion, Marx rejects capitalism, which he considers to be a system of bourgeois oppression, absurd and decadent. The latter eludes the importance of the social question in the historical future of a society. Trampling on the lyrical illusions of practical rationality, he insists on the rigidity of economic and social determinisms, to which he confers an overdeterminent role in sub-estimating the impact of cognitive and/or psychological mechanisms on the exercise of (...) state power. We will explain how dialectical materialism in Marx joins in many respects the methodological revolution initiated by Nietzsche, particularly as regards its requirement to contextualize a real understood as a fabric of forces, in order to understand the origin of the dominant values and that of the capitalist system. Moreover, it will be important to develop the idea that within a civil society, itself prey to a crisis of the sittlichkeit (the ethical life), history tends to separate the interests in favor of imperceptible cowards perverse become legion, while insidiously affecting a social body incapable of escaping from material contingencies. We will then have the right to question the way in which revolutions occur? (shrink)

This paper means to demonstrate the theoretical-and- methodological potential of a particular pattern of thought about culture. Employing an end-means and absolute value plus concept of reality approach, the continuous model of culture aims to embrace from one holistic standpoint various concepts and debates of the modern human, social, and political sciences. The paper revisits the debates of fact versus value, nature versus culture, culture versus structure, agency versus structure, and economics versus politics and offers the concepts of the rule (...) of law, state capitalism, a dialectical model of progress, and interpretative qualitative research, as well as of cultural diffusion, autonomy, alienation, and individuality. This model distinguishes between the ideal-symbolical and the instrumental functions of culture, sees culture as being sewn from universal binaries, and provides a certain understanding of the cognitive function of a value judgment, with positivism so far vague about the topic. It, too, suggests an extra method for investigating culture : the comparative literature study of culture enables social science to view literature as its potential in-depth interviewee— a case for arguing for a certain conception of interdisciplinarity as well. In addition, it predicts that cultural particularism or individuality remains an essential factor of human existence. Analyzing the issue of Eurocentrism in social science, the model finds modernity ’s concept of reality to be involved in ” methodological ” intellectualistic reductionism, characterizing it since the empiricism/ rationalism origination. Systematically confusing the universal oppositions in a Eurocentric manner, intellectualism becomes a contributing factor in unfolding post- modernity. (shrink)

The Philosophy Behind Marriage and Family Structure -/- Marriage and family have been fundamental aspects of human society for millennia. These institutions, deeply rooted in both biological imperatives and cultural traditions, provide individuals with emotional support, societal structure, and a framework for raising future generations. Throughout history, philosophers, sociologists, psychologists, and religious leaders have explored the significance of marriage and family, offering various perspectives on their purpose, evolution, and societal impact. This essay examines the philosophy behind marriage and family structure (...) through different lenses, including social, religious, psychological, biological, existential, economic, and contemporary viewpoints. -/- 1. Social and Functional Perspective -/- From a social standpoint, marriage and family serve as the bedrock of society. Aristotle, in his work Politics, described the family as the smallest social unit, essential for the survival and well-being of the individual and the state. He believed that humans are naturally social beings and that the family provides the first environment where individuals learn social values such as cooperation, responsibility, and justice. -/- Similarly, Confucian philosophy underscores the importance of family in maintaining social harmony. In Confucianism, filial piety—the respect for parents and ancestors—is a cornerstone of moral conduct, with family relationships mirroring broader societal relationships. The family, in this view, is not just a private institution but a microcosm of the entire social order. -/- Historically, marriage has also functioned as a social contract that unites families, clans, and communities, often transcending individual desires for the sake of social cohesion and societal continuity. -/- 2. Religious and Moral Perspective -/- Religious traditions around the world have long emphasized the sanctity of marriage and the importance of family life. In Christianity, marriage is often viewed as a divine covenant that reflects the relationship between Christ and the Church, with an emphasis on love, commitment, and mutual support. Hinduism regards marriage as a sacrament (samskara), binding individuals not only in the present life but also across lifetimes. -/- Islamic teachings similarly highlight marriage as a partnership grounded in compassion, mercy, and shared responsibility. Across these traditions, marriage and family are seen as moral institutions that provide a stable environment for raising children and passing down spiritual values. -/- Religious perspectives often link the stability of society to the strength of family structures, asserting that moral virtues such as loyalty, fidelity, and respect are first cultivated within the family unit. -/- 3. Psychological and Emotional Perspective -/- From a psychological standpoint, marriage and family fulfill essential emotional and developmental needs. The attachment theory proposed by John Bowlby suggests that early relationships within the family shape an individual’s emotional well-being and capacity for forming relationships later in life. Families provide emotional support, a sense of belonging, and a framework for identity development. -/- Carl Jung, a pioneer in analytical psychology, saw marriage as a path toward individuation, where two individuals learn and grow through their relationship. The emotional bonds formed in marriage and family life contribute to mental health, resilience, and a sense of purpose. -/- Moreover, contemporary psychological research emphasizes the importance of secure family environments for children’s cognitive and emotional development. Strong family bonds, characterized by open communication, emotional warmth, and supportive relationships, are associated with better psychological outcomes across the lifespan. -/- 4. Evolutionary and Biological Perspective -/- Biologically, the formation of family units can be understood as an adaptive strategy that supports survival and reproduction. Evolutionary psychologists argue that marriage and family structures evolved to address fundamental challenges related to reproduction, child-rearing, and social cooperation. -/- Anthropologist Helen Fisher suggests that human beings have evolved three distinct but interconnected brain systems related to love: attraction, romantic attachment, and long-term bonding. These systems, she argues, have historically promoted pair bonding, cooperative parenting, and the long-term care of offspring. -/- The biological perspective highlights how family structures have varied across cultures in response to environmental and societal factors. For instance, extended family structures were historically more common in agrarian societies, where cooperative labor was essential, while nuclear family structures became more prevalent in industrialized societies. -/- 5. Existential and Individual Perspective -/- Existential philosophers have explored marriage and family through the lens of individual freedom and personal growth. Jean-Paul Sartre and Simone de Beauvoir questioned traditional marriage structures, suggesting that societal norms around marriage could sometimes limit individual freedom and authenticity. -/- From an existential perspective, marriage can either be an avenue for personal growth or a constraint imposed by societal expectations. The decision to marry and build a family, therefore, becomes an existential act—one that involves choosing companionship and shared purpose in an otherwise uncertain world. -/- For existentialists, the meaning of marriage lies not in external validation but in the authentic relationship between individuals who choose to support and grow with one another despite life’s uncertainties. -/- 6. Economic and Structural Perspective -/- The economic dimension of marriage and family structures has been explored by philosophers such as Karl Marx and Friedrich Engels. In their analysis, traditional family structures were intertwined with systems of property ownership, inheritance, and social class. Engels, in The Origin of the Family, Private Property and the State, argued that the nuclear family, particularly in capitalist societies, reinforced patriarchal power dynamics and preserved wealth within certain classes. -/- In modern societies, the economic functions of marriage and family continue to be significant. Families often serve as units of economic cooperation, pooling resources to meet household needs and invest in children’s education and future. Additionally, shifts in labor markets, gender roles, and social policies have influenced family structures, leading to more diverse forms of partnerships and parenting arrangements. -/- 7. Contemporary and Progressive Perspectives -/- In recent decades, philosophical and sociological discussions about marriage and family have expanded to include issues of equality, diversity, and individual autonomy. The recognition of same-sex marriage in many countries reflects a broader societal shift toward inclusivity and the redefinition of traditional family structures. -/- Feminist philosophers, such as Judith Butler, have critically examined the ways in which traditional marriage and family structures have historically marginalized women and reinforced gender roles. Contemporary perspectives emphasize the importance of shared responsibilities within families, regardless of gender, as well as the recognition of diverse family forms, including single-parent households, cohabiting partnerships, and chosen families. -/- The contemporary view of marriage and family increasingly acknowledges the importance of love, mutual respect, and individual autonomy alongside traditional functions of reproduction and social stability. -/- Conclusion -/- The philosophy behind marriage and family structure encompasses a broad spectrum of perspectives, each offering valuable insights into these enduring human institutions. Socially, marriage and family provide stability and continuity. Religiously, they offer moral guidance and spiritual purpose. Psychologically, they fulfill emotional and developmental needs. Biologically, they support survival and reproduction. Existentially, they present opportunities for personal growth and authentic relationships. Economically, they function as units of resource-sharing and social mobility. -/- As societies evolve, so too do their understanding and practice of marriage and family life. The challenge for modern societies lies in balancing the enduring functions of these institutions with changing social norms, ensuring that marriage and family remain sources of support, growth, and societal cohesion for generations to come. -/- . (shrink)

What is the role of attention in the dialectics of memory and communication? How far is attention functioning as a medium? Which role does attention play in the information management practices? Attention is not only fundamental to human existence but also to the process of understanding. If understanding is mediated by memory and communication then attention can be identified with the medium. So whenever you search to explain the role and mechanisms of memory in the information society, the question of (...) attention is asked immediately. Furthermore, attention can be analyzed under the following topics: as cognitive process, as subjective, intersubjective and cultural phenomenon, and as resource and medium within an 'Attention Economy'. Whereas the first aspect has to be seen in the context of empirical studies in psychology and cognitive sciences, the phenomenological, cultural, and economic aspects seem to have common points and similar implications in their theoretical approaches. In the last twenty years, the notion of attention has been the central core of several discourses in German phenomenology, economy and cultural studies. Similar to Georg Franck's theory of mental capitalism, the idea of an attention economy also was followed up in the American discourse. This article is supposed to explore the role of attention and its function as a medium within communication, cultural memory and science. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:What's so Important about Music Education?Leonard TanJ. Scott Goble, What's so Important about Music Education? (New York, NY: Routledge, 2010)In What's so Important about Music Education, J. Scott Goble proposes a new philosophical foundation for music education in the United States based on the theory of semiotics by American pragmatist Charles Sanders Peirce. Following a brief summary, I will note several merits in Goble's book before sketching four (...) recommendations for future editions.In Chapter One, Goble notes how the inclusion of non-Western musics in the public schools as espoused in the 1967 Tanglewood Declaration has raised two crucial questions: "Whose music should be included in the curriculum?" and "What is the role or social importance of public school music education in the United States as a postmodern society?" Noting that music education was established in the United States during the modern era, and that the Tanglewood Declaration did not account for vast differences in beliefs about music, Goble argues that there is a need to establish a new philosophical foundation that can accommodate the varied beliefs and practices of diverse cultural groups in postmodern United States.In Chapter Two, Goble sketches and critiques five cultural anthropologists. Of the five, he singles out Clifford Geertz's conception of culture as "semiotic [End Page 201] webs" (p. 20) as the conceptual foundation that is appropriate for this study. He then links Geertz's notion of culture to the semiotic theory of C. S. Peirce which is to become the theoretical underpinning of the book. Subsequently, he unpacks many key Peircian themes: human conceptions are maintained not individually but collectively in cultural groups, provisional truth (as opposed to absolute Truth) is relative and dependent on conceptions of communities, and the scientific method is the sole mode of inquiry by which people in communities may use to satisfy their doubts to formulate beliefs. Most importantly, Goble expounds the "pragmatic maxim" that since humans live in communities united by common beliefs, "the 'clear' meaning of an idea held by a member of the community will almost inevitably stem from the beliefs—or ways of understanding—held by members of that community" (p. 30). Goble concludes the chapter by presenting the Peircian semiotic system of cognition which posits that a "sign" is conceptualized in a triadic relationship: the Sign or "Firstness," the Object or "Secondness," and the Interpretant or "Thirdness" (p. 33).In Chapter Three, Goble considers how music is a sign based on the theoretical framework laid in Chapter Two. Drawing on the work of ethnomusicologists, anthropologists, psychiatrists, and a neuroscientist, he formulates a Peircian pragmatic approach to musical practices which posits that "the musical practices of different cultural communities represent a diverse cluster of community-specific ritualized behaviors involving sound" (p. 252). Furthermore, each of the musical practices "serves those persons who meaningfully participate in it as a means of psychophysiological, psychosocial, and/or sociopolitical equilibration relative to the worldview—or ordered conception of Reality—they tacitly share" (p. 252). For Goble, this pragmatist conception of musical practices is neither ethnocentric, universalist, nor relativist, and can serve as a conceptual framework for all diverse musical practices in postmodern United States.With the Peircian pragmatic conception in mind, Goble examines historical factors that contributed to current conceptions of music in the United States in Chapter Four. He laments that as a result of European Enlightenment and three socio-political phenomena in the United States (the separation of church and state, promotion of no other worldview than democracy, and adoption of democratic capitalism), music is no longer pragmatically oriented but trivialized and pursued by self-serving musicians.In Chapter Five, Goble traces the philosophical justifications for music education throughout the history of the United States. While the sign "musical practice" was conceptualized as "worship" in colonial America, the sign "music" was conceived as "art" during the age of Enlightenment, and as "product" during the age of science and technology. Noting that Bennett Reimer's music education as aesthetic education is limited in its Western focus on music as works [End Page 202] of artistic objects, Goble aligns his Peircian conception along praxial lines—in particular, with... (shrink)

Aesthetics is thought of as not only a theory of art or beauty, but also includes sensibility, experience, judgment, and relationships. This paper is a study of Bernard Stiegler’s notion of Aesthetic War (stasis) and symbolic misery. Symbolic violence is ensued through a loss of individuation and participation in the creation of symbols. As a struggle between market values against spirit values human life and consciousness within neoliberal hyperindustrial society has become calculable, which prevents people from creating affective and meaningful (...) attachments to symbols in relation to our retentional apparatuses, technology and memory. Such tension can be thought of as a dissonance between overlapping domains of social life, private and public. New Media is a reflection of aesthetic dissonance, an experience such as being bored and entertained at the same time, between antagonistic experiences, values, and behavior. Moreover, new media is at once a medium of customizing aesthetic experience individually as well as the threat and practice of prioritizing calculability and modeling of consumer behavior in favor of capitalistic effectiveness, which results in the simultaneous categorization of an individual as a data point, putting those who do not fit an algorithm’s premises at a disadvantage. (shrink)

The article focuses on the nature of the modern knowledge society, which is characterized, first of all, by a sharp increase in intellectual capital (education, experience, skills, competencies, know-how, the price of personnel in the labor market, patents, etc.) in the amount of capitalization of large business. The knowledge society is a society of high social dynamics, the embodiment of the migration archetype, of rational discourse and intellectual work, which realizes the well-known thesis “Knowledge is power” in a new way. (...) The last three decades, Nico Stehr, a well-known German sociologist and philosopher has been rethinking, reformulating, and substantiating the theories of the knowledge society, which appeared in the 1960s. The article investigates Stehr’s concept, expresses arguments in its support, and highlights some blank spots that remain inexplicable for him in the light of the social realities of recent years. The conclusion runs that the knowledge society represents a significant social trend in the formation of science and technology as a leading productive force. It also manifests a form of the urban discourse of freedom — the cognitive self-realization of the individual in the spectrum of wide possibilities of the public good as a subject-matter of epistemological urban studies. However, this trend is countered by modern knowledge capitalism (privatization, fencing off of knowledge, including that with the help of patents), as well as by the high degree of risk and uncertainty that dominates the modern world. (shrink)

-/- Perfect Hierarchy of Systems in Human Societies -/- 1. Individual Level (Micro-System) -/- The foundation of human society starts with the individual, whose well-being and decision-making influence all higher systems. -/- 1.1 Biological System 1.2 The body operates under homeostasis, requiring proper nutrition, healthcare, and an environment that supports physical well-being. -/- Balanced biological functioning ensures optimal decision-making and productivity. -/- 1.3 Cognitive System 1.4 The mind functions based on knowledge, beliefs, emotions, and rational thinking. -/- Critical thinking (...) and self-awareness prevent ignorance and misinformation from corrupting decisions. -/- 1.3 Behavioral System -/- Shaped by upbringing, education, experiences, and cultural influences. -/- The law of balance ensures responsible behavior in society, avoiding excesses of selfishness or self-sacrifice. -/- 1.5 Moral & Ethical System 1.6 Ethical responsibility is guided by an understanding of natural law and justice. -/- Actions should be aligned with fairness, accountability, and sustainability. -/- 2. Family & Community Level (Meso-System) -/- The family and local communities serve as the fundamental units of collective human behavior, shaping individual values and actions. -/- 2.1 Family System 2.2 The first school of knowledge, morality, and survival skills. -/- Balanced parenting ensures the transmission of wisdom without dogmatic control or neglect. -/- 2.3 Local Community System 2.4 A network of families cooperating for shared resources, culture, and social support. -/- Ensures mutual protection, aid, and education at the grassroots level. -/- 2.3 Economic Micro-System -/- Small businesses, local trade, and informal economies sustain livelihoods. -/- The economy should be self-sufficient, avoiding excessive reliance on external forces. -/- 2.5 Cultural & Religious System 2.6 Preserves traditions, beliefs, and values that align with natural balance. -/- Must avoid rigid dogmas that create conflict or impede progress. -/- 3. Institutional Level (Organizational Systems) -/- Institutions formalize society’s essential functions, ensuring collective stability and growth. -/- 3.1 Educational System 3.2 A holistic education that teaches the law of balance, critical thinking, and practical skills. -/- Free from misinformation, propaganda, and outdated doctrines. -/- 3.3 Healthcare System 3.4 Ensures physical and mental well-being through preventive and curative measures. -/- Should not be profit-driven but focused on collective well-being. -/- 3.3 Economic System -/- A balance between production, distribution, and consumption. -/- Avoids economic extremes such as monopolies, overconsumption, and artificial scarcity. -/- 3.5 Justice & Legal System 3.6 Laws are created and enforced based on fairness, equity, and rational governance. -/- Prevents corruption, abuse of power, and unjust punishments. -/- 3.5 Media & Information System -/- Prevents misinformation, black propaganda, and manipulation of public perception. -/- Should be structured to inform, educate, and unify societies without bias. -/- 4. National Level (Macro-System) -/- A well-balanced nation ensures peace, progress, and harmony between institutions and the people. -/- 4.1 Government System 4.2 Leadership must be based on the law of balance, ensuring holistic governance. -/- Power must be distributed to prevent dictatorship or excessive bureaucracy. -/- 4.3 National Defense & Security System 4.4 Protects from internal and external threats while ensuring peace. -/- Should focus on strategic deterrence, not unnecessary militarization. -/- 4.3 National Economic System -/- Policies must regulate wealth distribution, prevent inflation, and ensure sustainable development. -/- Should prevent over-reliance on unstable markets or exploitative labor. -/- 4.5 Environmental System 4.6 Laws that ensure the protection of natural resources and ecosystems. -/- Prevents industrial overexploitation, deforestation, and pollution. -/- 4.5 Social Welfare System -/- Provides safety nets for vulnerable populations (e.g., poor, disabled, elderly). -/- Ensures equal opportunity, reducing poverty and crime rates. -/- 5. Global Level (Meta-System) -/- Nations must cooperate to maintain balance at an international scale. -/- 5.1 International Governance System 5.2 Organizations like the UN should enforce global peace and cooperative policies. -/- Must be restructured to ensure fairness and prevent dominance by any single nation. -/- 5.3 Global Economic System 5.4 Equitable trade agreements, fair wealth distribution, and sustainable globalization. -/- Prevents exploitative capitalism and unfair economic dependency. -/- 5.3 Environmental & Ecological System -/- Global efforts to address climate change, deforestation, and biodiversity loss. -/- Shared responsibility in ensuring a sustainable planet. -/- 5.5 Artificial Intelligence & Technological System 5.6 AI must be programmed according to the law of balance, ensuring it serves humanity. -/- Should prevent misuse in warfare, surveillance, or economic control. -/- 5.5 Human Rights & Ethical System -/- Ensures universal human dignity, equality, and freedom. -/- Should be free from political bias, economic interest, and ideological extremism. -/- 6. Cosmic Level (Ultimate System) -/- Humanity must recognize its place within the greater universe and maintain balance in exploration and philosophy. -/- 6.1 Philosophical & Existential System 6.2 Scientific and spiritual integration in understanding human existence. -/- Avoiding nihilism, dogmatism, or extremist ideologies. -/- 6.3 Interplanetary & Cosmic Exploration System 6.4 Future human expansion beyond Earth must follow sustainability and ethics. -/- Avoids resource overconsumption or exploitative space colonization. -/- 6.3 Spiritual & Metaphysical System -/- Understanding human consciousness, free will, and its connection to universal balance. -/- Avoids religious conflicts by unifying metaphysical understanding under natural laws. -/- Final Principles of the Hierarchical System -/- 1. Balance at All Levels – Every system must operate within natural limits to avoid collapse. -/- 2. Mutual Feedback Mechanisms – Lower and higher levels must continuously adjust based on feedback. -/- 3. Elimination of Corruptive Influences – No system should be controlled by greed, dogma, or misinformation. -/- 4. Holistic Education – Proper education ensures that each generation understands and maintains balance. -/- 5. Global Cooperation, Not Domination – Nations and individuals must work together rather than compete destructively. -/- . (shrink)

The core argument of this article is that Adorno adopts the distinction between an abstract and a concrete universal from Hegel and criticizes Hegel, on that basis, as abstract. The first two parts of the article outline that both thinkers take the abstract universal to be the form of a false type of knowledge and society, and the concrete universal to be a positive aim. However, as the third part argues, Adorno rejects how the concrete universal is understood in Hegel’s (...) philosophy and formulates a different conception of it. The fourth part questions if Adorno manages to overcome the problems he identifies in Hegel or whether they are inherent to the programme of dialectics both endorse. (shrink)

Este artículo explora la integración de la IA en la comunicación académica para mejorar las capacidades cognitivas humanas. La concepción de la comunicación hombre-máquina (CMM), que considera las tecnologías basadas en la IA no como objetos interactivos, sino como sujetos comunicativos, plantea cuestiones más filosóficas en la comunicación académica. Es un hecho conocido que existe una mayor interacción entre los humanos y las máquinas, especialmente consolidada por la pandemia COVID-19, que intensificó el desarrollo del Sistema de Aprendizaje Adaptativo Individual, por (...) lo que necesariamente se requieren aportaciones de las IN para fortalecer la IA. Esto posicionó a la universidad en la yuxtaposición de asegurar la producción de individuos altamente talentosos que puedan continuar pensando más allá de lo pensable inteligentemente y permitir a los expertos en IA continuar construyendo algoritmos que puedan llevar el desarrollo de la tecnología al siguiente nivel. Para llevar a cabo tal tarea, la producción investigadora es primordial para conectar la universidad y la industria editorial. Este artículo examina de forma crítica componentes importantes e intenta hacer justicia a la emanación de preguntas críticas de los investigadores (NI), alimentando así el desarrollo de la tecnología (IA). (shrink)

Cognitive theories claim, whereas non-cognitive theories deny, that cognitive access is constitutive of phenomenology. Evidence in favor of non-cognitive theories has recently been collected by Block and is based on the high capacity of participants in partial-report experiments compared to the capacity of the working memory. In reply, defenders of cognitive theories have searched for alternative interpretations of such results that make visual awareness compatible with the capacity of the working memory; and so the conclusions (...) of such experiments remain controversial. Instead of entering the debate between alternative interpretations of partial-report experiments, this paper offers an alternative line of research that could settle the discussion between cognitive and non-cognitive theories of consciousness. Here I relate the neural correlates of cognitive access to empirical research into the neurophysiology of dreams; cognitive access seems to depend on the activity of the dorsolateral prefrontal cortex. However, that area is strongly deactivated during sleep; a period when we entertain conscious experiences: dreams. This approach also avoids the classic objection that consciousness should be inextricably tied to reportability or it would fall outside the realm of science. (shrink)

According to virtue epistemology, the main aim of education is the development of the cognitive character of students (Pritchard, 2014, 2016). Given the proliferation of technological tools such as ChatGPT and other LLMs for solving cognitive tasks, how should educational practices incorporate the use of such tools without undermining the cognitive character of students? Pritchard (2014, 2016) argues that it is possible to properly solve this ‘technology-education tension’ (TET) by combining the virtue epistemology framework with the theory (...) of extended cognition (EXT) (Clark and Chalmers, 1998). He argues that EXT enables us to consider tools as constitutive parts of the students’ cognitive system, thus preserving their cognitive character from technologically induced cognitive diminishment. The first aim of this paper is to show that this solution is not sufficient to solve the TET. Second, I aim to offer a complementary and more encompassing framework of tool-use to address the TET. Then, I apply it to the educational uses of ChatGPT as the most notable example of LLM, although my arguments can be extended to other generative AI systems. To do so, in Sect. 1.1, I present Pritchard’s framework of cognitive character and virtue epistemology applied in education, to which I am committed in this treatment. In Sects. 2 and 3, I respectively illustrate Pritchard’s (2014) solution to the TET, and I highlight the general limitations of his proposal. Thus, in Sect. 4.1 I characterize ChatGPT as a computational cognitive artifact using Fasoli’s (2017, 2018) taxonomy of cognitive artifacts. In Sect. 4.2, I introduce my proposal, which combines Pritchard’s account of virtue epistemology with Fasoli’s (2017, 2018) taxonomy of cognitive artifacts to address the TET. Finally, in Sect. 5.1, I present some epistemically virtuous uses of ChatGPT in educational contexts. To conclude, I argue in favor of a multidisciplinary approach for analyzing educational activities involving AI technologies such as ChatGPT. (shrink)

We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality inclusions of (...) the form p :: T(C) v D, whose intuitive meaning is that “we believe with degree p about the fact that typical Cs are Ds”. As in the distributed semantics, we define different scenarios containing only some typicality inclusions, each one having a suitable probability. We then exploit such scenarios in order to ascribe typical properties to a concept C obtained as the combination of two prototypical concepts. We also show that reasoning in the proposed Description Logic is EXPTIME-complete as for the underlying standard Description Logic ALC. (shrink)

A woman is listening to Sinatra before work. As she later describes it, ‘suddenly from nowhere I could hear my mother singing along to it … I was there again home again, hearing my mother … God knows why I should choose to remember that … then, to actually hear her and I had this image in my head … of being at home … with her singing away … like being transported back you know I got one of those (...) … like shivery feelings really suddenly’ (Anderson 2004, 9-10). An older couple, discussing their honeymoon forty years ago, each say that they can’t remember the show they saw, until through iterative, puzzled cross-cuing they finally get there – ‘Desert Song, that’s it’ (Harris et al 2011, 292). An elderly English veteran of a prisoner of war camp in Japan, finishing up morning tea with a young Japanese social scientist interested in reconciliation, suddenly calls out loudly - in Japanese - ‘stand to attention’. He stands to attention in front of her: like many of the men she interviews, he physically re-enacts fragments of that long-past world of the camp, bringing that absent past into this new present context with a visceral shock (Murakami 2001, 2012; Middleton & Brown 2005, 133-136). (shrink)

Neuroscience is a laboratory-based science that spans multiple levels of analysis from molecular genetics to behavior. At every level of analysis experiments are designed in order to answer empirical questions about phenomena of interest. Understanding the nature and structure of experimentation in neuroscience is fundamental for assessing the quality of the evidence produced by such experiments and the kinds of claims that are warranted by the data. This article provides a general conceptual framework for thinking about evidence and experimentation in (...) neuroscience with a particular focus on two research areas: cognitive neuroscience and cognitive neurobiology. (shrink)

Forty years have passed since video-games were first made widely available to the public and subsequently playing games has become a favorite past-time for many. Players continuously engage with dynamic visual displays with success contingent on the time-pressured deployment, and flexible allocation, of attention as well as precise bimanual movements. Evidence to date suggests that both brief and extensive exposure to video-game play can result in a broad range of enhancements to various cognitive faculties that generalize beyond the original (...) context. Despite promise, video-game research is host to a number of methodological issues that require addressing before progress can be made in this area. Here an effort is made to consolidate the past 30 years of literature examining the effects of video-game play on cognitive faculties and, more recently, neural systems. Future work is required to identify the mechanism that allows the act of video-game play to generate such a broad range of generalized enhancements. (shrink)

Purpose Prescription stimulant use as “cognitive enhancers” has been described among undergraduate college students. However, the use of prescription stimulants among future health care professionals is not well characterized. This study was designed to determine the prevalence of prescription stimulant misuse among students at an academic health sciences center. -/- Method Electronic surveys were e-mailed to 621 medical, pharmacy, and respiratory therapy students at East Tennessee State University for four consecutive weeks in fall 2011. Completing the survey was voluntary (...) and anonymous. Surveys asked about reasons for, frequency of, and side effects of nonprescription misuse of prescription stimulants. Given the sensitive material, an opportunity to win one of ten $50 gift cards was used as an incentive. -/- Results Three hundred seventy-two (59.9%) students completed the survey from three disciplines (47.6% medical, 70.5% pharmacy, and 57.6% respiratory therapy). Overall, 11.3% of responders admitted to misusing prescription stimulants. There was more misuse by respiratory therapy students, although this was not statistically significant (10.9% medicine, 9.7% pharmacy, 26.3% respiratory therapy; P = .087). Reasons for prescription stimulant misuse included to enhance alertness/ energy (65.9%), to improve academic performance (56.7%), to experiment (18.2%), and to use recreationally/get high (4.5%). -/- Conclusions Prescription stimulant misuse was prevalent among participating students, but further research is needed to describe prevalence among future health care workers more generally. The implications and consequences of such misuse require further study across professions with emphasis on investigating issues of academic dishonesty (e.g., “cognitive enhancement”), educational quality, and patient safety or health care quality. (shrink)

In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim that the internal procedures determining the output of such artificial devices, replacing biological tissues and connected to other biological tissues, cannot be used to directly explain the corresponding mechanisms of the biological component(s) they substitute (and therefore cannot be used (...) to explain the local mechanisms determining an overall biological or cognitive function replicated by such bionic models). I ground this analysis on the use of the Minimal Cognitive Grid (MCG), a novel framework proposed in Lieto (Cognitive design for artificial minds, 2021) to rank the epistemological and explanatory status of biologically and cognitively inspired artificial systems. Despite the lack of such a direct mechanistic explanation from the artificial component, however, I also argue that the hybrid bionic systems can have an indirect explanatory role similar to the one played by some AI systems built by using an overall structural design approach (but including the partial adoption of functional components). In particular, the artificial replacement of part(s) of a biological system can provide i) a local functional account of that part(s) in the context of the overall functioning of the hybrid biological–artificial system and ii) global insights about the structural mechanisms of the biological elements connected to such artificial devices. (shrink)

Among our conscious states are conscious thoughts. The question at the center of the recent growing literature on cognitive phenomenology is this: In consciously thinking P, is there thereby any phenomenology—is there something it’s like? One way of clarifying the question is to say that it concerns whether there is any proprietary phenomenology associated with conscious thought. Is there any phenomenology due to thinking, as opposed to phenomenology that is due to some co-occurring sensation or mental image? In this (...) paper we will present two arguments that a “yes” answer to this question of cognitive phenomenology can be obtained via appeal to the HOT theory of consciousness, especially the version articulated and defended by David Rosenthal. (shrink)

Temporal non-dynamists hold that there is no temporal passage, but concede that many of us judge that it seems as though time passes. Phenomenal Illusionists suppose that things do seem this way, even though things are not this way. They attempt to explain how it is that we are subject to a pervasive phenomenal illusion. More recently, Cognitive Error Theorists have argued that our experiences do not seem that way; rather, we are subject to an error that leads us (...) mistakenly to believe that our experiences seem that way. Cognitive Error Theory is a relatively new view and little has been said to explain why we make such an error, or where, in the cognitive architecture, such an error might creep in. In this paper we remedy this by offering a number of hypotheses about the source of error. In so doing we aim to show that Cognitive Error Theory is a plausible competitor to Phenomenal Illusion Theory. (shrink)

There are two broad approaches to theorizing about ontological categories. Quineans use first-order quantifiers to generalize over entities of each category, whereas type theorists use quantification on variables of different semantic types to generalize over different categories. Does anything of import turn on the difference between these approaches? If so, are there good reasons to go type-theoretic? I argue for positive answers to both questions concerning the category of propositions. I also discuss two prominent arguments for a Quinean conception of (...) propositions, concerning their role in natural language semantics and apparent quantification over propositions within natural language. It will emerge that even if these arguments are sound, there need be no deep question about Quinean propositions’ true nature, contrary to much recent work on the metaphysics of propositions. (shrink)

This book offers substantial insight into students’ conceptualization of scientific terminology. The current book explores the commonalities and distinctions between Arabic and French physics terms, and the impact of the language disparities on students’ understanding of physics terms. This book adopts a novel approach to the problem of scientific terminology by exploring physics terms’ polysemy, prototypical meanings, and conceptual metaphor and metonymy, which motivates their extension of meaning. The book also investigates how the linguistic discrepancies and other variables affect the (...) learning of physics by Arab students (Moroccan students, in this book). Concepts in Physics: A Comparative Cognitive Analysis of Arabic and French Terminologies, whether you are a student of science, a science teacher or lecturer, a translator, or a linguist, is what you need. The book will help you comprehend the linguistic and cultural differences between western and non-western physics terminologies (in this book, French and Arabic physics terminologies) and the factors influencing the learning of physics concepts, and thus address the multiple challenges in learning scientific terms and concepts. (shrink)

We provide a cognitive analysis of how children represent belief using mental files. We explain why children who pass the false belief test are not aware of the intensionality of belief. Fifty-one 3½- to 7-year old children were familiarized with a dual object, e.g., a ball that rattles and is described as a rattle. They observed how a puppet agent witnessed the ball being put into box 1. In the agent’s absence the ball was taken from box 1, the (...) child was reminded of it being a rattle, and emphasising its being a rattle it was put back into box 1. Then the agent returned, the object was hidden in the experimenter’s hands and removed from box 1, described as a ‘‘rattle,” and transferred to box 2. Children who passed false belief had no problem saying where the puppet would look for the ball. However, in a different condition in which the agent was also shown that the ball was a rattle they erroneously said that the agent would look for the ball in box 1, ignoring the agent’s knowledge of the identity of rattle and ball. Their problems cease with their mastery of second-order beliefs. Problems also vanish when the ball is described not as a rattle but as a thing that rattles. We describe how our theory can account for these data as well as all other relevant data in the literature. (shrink)

Capitalism is defined as the economic structure in which decisions over production are largely made by or on behalf of individuals in virtue of their private property ownership, subject to the incentives and constraints of market competition. In this paper, I will argue that considerations of long-term welfare, such as those developed by Greaves and MacAskill (2021), support anticapitalism in a weak sense (reducing the extent to which the economy is capitalistic) and perhaps support anticapitalism in a stronger sense (...) (establishing an alternative economic structure in which capitalism is not predominant). I hope to encourage longtermists to give anticapitalism serious consideration, and to encourage anticapitalists to pursue criticisms of capitalism’s efficiency as well as its injustices. (shrink)

Consider the following two (hypothetical) generic causal claims: “Living in a neighborhood with many families with children increases purchases of bicycles” and “living in an affluent neighborhood with many families with children increases purchases of bicycles.” These claims not only differ in what they suggest about how bicycle ownership is distributed across different neighborhoods (i.e., “the data”), but also have the potential to communicate something about the speakers’ values: namely, the prominence they accord to affluence in representing and making decisions (...) about the social world. Here, we examine the relationship between the level of granularity with which a cause is described in a generic causal claim (e.g., neighborhood vs. affluent neighborhood) and the value of the information contained in the causal model that generates that claim. We argue that listeners who know any two of the following can make reliable inferences about the third: 1) the level of granularity at which a speaker makes a generic causal claim, 2) the speaker’s values, and 3) the data available to the speaker. We present results of four experiments (N=1,323) in the domain of social categories that provide evidence in keeping with these predictions. (shrink)

From his earliest work forward, phenomenologist Maurice Merleau-Ponty attempted to develop a new ontology of nature that would avoid the antinomies of realism and idealism by showing that nature has its own intrinsic sense which is prior to reflection. The key to this new ontology was the concept of form, which he appropriated from Gestalt psychology. However, Merleau-Ponty struggled to give a positive characterization of the phenomenon of form which would clarify its ontological status. Evan Thompson has recently taken up (...) Merleau-Ponty’s ontology as the basis for a new, “enactive” approach to cognitive science, synthesizing it with concepts from dynamic systems theory and Francisco Varela’s theory of autopoiesis. However, Thompson does not quite succeed in resolving the ambiguities in Merleau-Ponty’s account of form. This article builds on an indication from Thompson in order to propose a new account of form as asymmetry, and of the genesis of form in nature as symmetry-breaking. These concepts help us to escape the antinomies of Modern thought by showing how nature is the autoproduction of a sense which can only be known by an embodied perceiver. (shrink)

In this paper the author attempts to elucidate comparison with the illustrated book in the Philebus (38e12) in a more detailed manner in order to find out what cognitive dispositions underlie our experiencing a variety of pleasures, particularly the pleasures of anticipation. In doing so, she shall argue against the commentators of the Philebus, who claim that only perception and memory are responsible for forming perceptual judgments concerning pleasures, supporting the interpretation, according to which our capacity to think (dianoia) (...) is also involved in that process. (shrink)

This is a revised version of the introductory essay in C. Eschenbach, C. Habel and B. Smith (eds.), Topological Foundations of Cognitive Science, Hamburg: Graduiertenkolleg Kognitionswissenschaft, 1994, the text of a talk delivered at the First International Summer Institute in Cognitive Science in Buffalo in July 1994.

This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors (...) that led to their conclusions. Furthermore, we generalize the epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments. (shrink)

dolce, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly (...) formalized, and is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources (e.g. CIDOC CRM, DBpedia and WordNet). Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases. (shrink)