Explaining the complex dynamics exhibited in many biological mechanisms requires extending the recent philosophical treatment of mechanisms that emphasizes sequences of operations. To understand how nonsequentially organized mechanisms will behave, scientists often advance what we call dynamic mechanistic explanations. These begin with a decomposition of the mechanism into component parts and operations, using a variety of laboratory-based strategies. Crucially, the mechanism is then recomposed by means of computational models in which variables or terms in differential equations correspond to properties of (...) its parts and operations. We provide two illustrations drawn from research on circadian rhythms. Once biologists identified some of the components of the molecular mechanism thought to be responsible for circadian rhythms, computational models were used to determine whether the proposed mechanisms could generate sustained oscillations. Modeling has become even more important as researchers have recognized that the oscillations generated in individual neurons are synchronized within networks; we describe models being employed to assess how different possible network architectures could produce the observed synchronized activity. (shrink)

The existence of superstition and religious beliefs in most, if not all, human societies is puzzling for behavioral ecology. These phenomena bring about various fitness costs ranging from burial objects to celibacy, and these costs are not outweighed by any obvious benefits. In an attempt to resolve this problem, we present a verbal model describing how humans and other organisms learn from the observation of coincidence (associative learning). As in statistical analysis, learning organisms need rules to distinguish between real patterns (...) and randomness. These rules, which we argue are equivalent to setting the level of α for rejection of the null hypothesis in statistics, are governed by risk management as well as by comparison to previous experiences. Risk management means that the cost of a possible type I error (superstition) has to be traded off against the cost of a possible type II error (ignorance). This trade-off implies that the occurrence of superstitious beliefs is an inevitable consequence of an organism’s ability to learn from observation of coincidence. Comparison with previous experiences (as in Bayesian statistics) improves the chances of making the right decision. While this Bayesian approach is found in most learning organisms, humans have evolved a unique ability to judge from experiences whether a candidate subject has the power to mechanistically cause the observed effect. Such “strong” causal thinking evolved because it allowed humans to understand and manipulate their environment. Strong causal thinking, however, involves the generation of hypotheses about underlying mechanisms (i.e., beliefs). Assuming that natural selection has favored individuals that learn quicker and more successfully than others owing to (1) active search to detect patterns and (2) the desire to explain these patterns mechanistically, we suggest that superstition has evolved as a by-product of the first, and that belief has evolved as a by-product of the second. (shrink)

Humanity’s self-ordained mandate to subdue and dominate nature is part of the cognitive foundation of the modern world—a perspective that remains deeply ingrained in science and technology. Marine biology has not been immune to this anthropocentric bias. But this needs to change, and the gaps between basic scientific disciplines and the global conservation imperatives of our time need to be bridged. In the face of a looming ecological and climate crisis, marine biologists must upgrade their values and professional standards and (...) help foster the radical transformation needed to avert a climate and ecological breakdown. To prevent some of the damage, they must cross the imaginary line that separates science from science-based activism and consciously pursue the health and durability of human and natural communities. To this end, they can (1) develop compelling narratives that engage human society, with emphasis on care for the wild living world; (2) move beyond marine conservation on paper and avoid self-serving complaisance; (3) advocate constructive changes in market and human behaviour, not only by documenting damage but also by clarifying how the extraction, production and consumption system can be steered away from practices that harm nature; (4) push for systemic change in politics through individual and collective efforts, supporting environmental activism and those who demand biosphere-saving policies; and (5) endorse a more ecocentric and holistic world vision, relinquishing contempt for spiritual wisdom and liaising with (or at least not dismissing) spiritual traditions that encourage equality, self-restraint and environmental sustainability. (shrink)

This paper considers the question: In what ways can artificial intelligence assist with interdisciplinary research for addressing complex societal problems and advancing the social good? Problems such as environmental protection, public health, and emerging technology governance do not fit neatly within traditional academic disciplines and therefore require an interdisciplinary approach. However, interdisciplinary research poses large cognitive challenges for human researchers that go beyond the substantial challenges of narrow disciplinary research. The challenges include epistemic divides between disciplines, the massive bodies of (...) relevant literature, the peer review of work that integrates an eclectic mix of topics, and the transfer of interdisciplinary research insights from one problem to another. Artificial interdisciplinarity already helps with these challenges via search engines, recommendation engines, and automated content analysis. Future “strong artificial interdisciplinarity” based on human-level artificial general intelligence could excel at interdisciplinary research, but it may take a long time to develop and could pose major safety and ethical issues. Therefore, there is an important role for intermediate-term artificial interdisciplinarity systems that could make major contributions to addressing societal problems without the concerns associated with artificial general intelligence. (shrink)

Business Ethics, the Environment &Responsibility, Volume 32, Issue 1, Page 1-3, January 2023.

William James is remembered as the philosopher of pragmatism, but he was principally the founder of modern scientific psychology. During the period of his most intense scientific involvement James developed a trenchant critique of science. This was not a rejection of science but an attempt to identify limitations of the contemporary conceptualization of science. In particular, James emphasized the failure of science to understand its basis in human emotions. James developed a scientific theory of emotions in which the importance of (...) emotion in cognition and decision-making is central. James’ appreciation of the significance of emotions in science has continuing value. Nevertheless, his characterization of science in terms of its method introduces tensions in his account that an emphasis on the social dimensions of science, which he implicitly acknowledged, tends to resolve. (shrink)

The question whether ethical behavior is biologically determined may refer either to the capacity for ethics (i.e., the proclivity to judge human actions as either right or wrong), or to the moral norms accepted by human beings for guiding their actions. I herein propose: (1) that the capacity for ethics is a necessary attribute of human nature; and (2) that moral norms are products of cultural evolution, not of biological evolution. Humans exhibit ethical behavior by nature because their biological makeup (...) determines the presence of three necessary conditions for ethical behavior: (i) the ability to anticipate the consequences of one’s own actions; (ii) the ability to make value judgments; and (iii) the ability to choose between alternative courses of action. Ethical behavior came about in evolution not because it is adaptive in itself, but as a necessary consequence of man’s eminent intellectual abilities, which are an attribute directly promoted by natural selection. That is, morally evolved as an exaptation, not as an adaptation. Since Darwin’s time there have been evolutionists proposing that the norms of morality are derived from biological evolution. Sociobiologists represent the most recent and most subtle version of that proposal. The sociobiologists' argument is that human ethical norms are sociocultural correlates of behaviors fostered by biological evolution. I argue that such proposals are misguided and do not escape the naturalistic fallacy. The isomorphism between the behaviors promoted by natural selection and those sanctioned by moral norms exist only with respect to the consequences of the behaviors; the underlying causations are completely disparate. (shrink)

This paper defends an account of forgiveness that is sensitive to recent work on anger. Like others, we claim anger involves an appraisal, namely that someone has done something wrong. But, we add, anger has two further functions. First, anger communicates to the wrongdoer that her act has been appraised as wrong and demands she feel guilty. This function enables us to explain why apologies make it reasonable to forgo anger and forgive. Second, anger sanctions the wrongdoer for what she (...) has done. This function allows us to explore the moral status of forgiveness, including why forgiveness is typically elective. (shrink)

This paper provides an overview of the origins, vicissitudes, and abandonment of ‘metapsychology’, the psycho-biological scientific core of the Freudian opus, and introduces the authors’ key revisions. Although couched in the language of metaphor and analogy from 19th century physics, the conceptual foundations of Freud’s theories contained the seeds of a bio-semiotic theory of mind and of human nature in the natural world. Its updated, modernized, version opens the door to an inter-penetrative epistemology leading to universal principles of logical form, (...) applicable to all types of vital inter-action. (shrink)

The ideas of interdisciplinarity and transdisciplinarity have been widely applied to the relationship between sciences. This article is an attempt to discuss the reasons why scientific interdisciplinarity and transdisciplinarity pose specific problems. First of all, certain questions about terminology are taken into account in order to clarify the meaning of the word ?discipline? and its cognates. Secondly, we argue that the specificity of sciences does not lie in becoming disciplines. Then, we focus on the relationship between sciences, and between sciences (...) and technologies: we argue that multidisciplinarity and interdisciplinarity are a common practice among strict sciences and technologies. Finally, we discuss the different meanings of transdisciplinarity when it is applied to sciences. (shrink)

ABSTRACT:Biological, brain, and behavioral sciences offer strong and growing support for the virtue ethics account of moral judgment and ethical behavior in business organizations. The acquisition of moral agency in business involves the recognition, refinement, and habituation through the processes of reflexion and reflection of a moral sense encapsulated in innate modules for compassion, hierarchy, reciprocity, purity, and affiliation adaptive for communal life both in ancestral and modern environments. The genetic and neural bases of morality exist independently of institutional frameworks (...) and social structures. The latter not only shape moral behaviors within circumscribed limits, they also imply a plurality and compartmentalization of roles which may enable or impede the habituation of virtue. Becoming a virtuous agent entails the practical refinement of predispositionsin situas a member of a community of practitioners rather than entailing a normative ethical educational project seeking an intellectual resolution of abstract moral questions. (shrink)

Explores the science and creative process behind Poe’s cosmological treatise. Silver Winner for Philosophy, 2017 Foreword INDIES Book of the Year Awards In 1848, almost a year and a half before Edgar Allan Poe died at the age of forty, his book Eureka was published. In it, he weaved together his scientific speculations about the universe with his own literary theory, theology, and philosophy of science. Although Poe himself considered it to be his magnum opus, Eureka has mostly been overlooked (...) or underappreciated, sometimes even to the point of being thought an elaborate hoax. Remarkably, however, in Eureka Poe anticipated at least nine major theories and developments in twentieth-century science, including the Big Bang theory, multiverse theory, and the solution to Olbers’ paradox. In this book—the first devoted specifically to Poe’s science side—David N. Stamos, a philosopher of science, combines scientific background with analysis of Poe’s life and work to highlight the creative and scientific achievements of this text. He examines Poe’s literary theory, theology, and intellectual development, and then compares Poe’s understanding of science with that of scientists and philosophers from his own time to the present. Next, Stamos pieces together and clarifies Poe’s theory of scientific imagination, which he then attempts to update and defend by providing numerous case studies of eureka moments in modern science and by seeking insights from comparative biography and psychology, cognitive science, neuroscience, and evolution. David N. Stamos teaches philosophy at York University in Toronto. He is the author of several books, including Darwin and the Nature of Species, also published by SUNY Press. (shrink)

The term ‘scientism’ has not attracted consensus about its meaning or about its scope of application. In this paper, we consider Mizrahi’s suggestion to distinguish ‘Strong’ and ‘Weak’ scientism, and the consequences this distinction may have for philosophical methodology. While we side with Mizrahi that his definitions help advance the debate, by avoiding verbal dispute and focussing on questions of method, we also have concerns about his proposal as it defends a hierarchy of knowledge production. Mizrahi’s position is that Weak (...) Scientism should be adopted, stating that “of all the knowledge we have, scientific knowledge is the best knowledge”. This version of scientism, however, has consequences for philosophical methodology. In particular, if one conceives of philosophy as an a priori discipline and holds Weak Scientism, the introduction of empirical methods in philosophy may threaten its very essence or soul. In this chapter, we will defend the move to adopt empirical methods in philosophy and argue that, rather than threatening its essence or soul, these methods put philosophy in a better position to contribute to knowledge production, an endeavor shared with the sciences, and in a very interdisciplinary spirit. Our point of disagreement with Mizrahi is that we should avoid any hierarchy of knowledge, and instead focus on what each perspective -- scientific, philosophical, historical, or other -- can contribute to understanding phenomena. (shrink)

Unified, all-purpose, philosophical models of reduction in science lack resources for capturing varieties of cross-scientific relations that have proven critical to understanding some scientific achievements. Not only do those models obscure the distinction between successional and cross-scientific relations, their preoccupations with the structures of both theories and things provide no means for accommodating the contributions to various sciences of theories and research about long-term diachronic processes involving large-scale, distributed systems. Darwin's theory of evolution by natural selection is the parade case. (...) Explanatory pluralism accommodates a wider range of connections between theories and inquiries in science than all-purpose models of reduction do. Consequently, it provides analytical tools for understanding the roles of the theoretical proposals about the evolution of the human mind/brain that have proliferated over the last two decades. Those proposals have testable implications pertaining to both structure and processing in the modern human mind/brain. An example of such research illustrates how those proposals and investigative tools and experiments cut across both explanatory levels and modes of analysis within the cognitive sciences and how those studies can yield evidence that bears on the assessment of competing theories and models. (shrink)

This book brings together philosophers, mathematicians and logicians to penetrate important problems in the philosophy and foundations of mathematics. In philosophy, one has been concerned with the opposition between constructivism and classical mathematics and the different ontological and epistemological views that are reflected in this opposition. The dominant foundational framework for current mathematics is classical logic and set theory with the axiom of choice. This framework is, however, laden with philosophical difficulties. One important alternative foundational programme that is actively pursued (...) today is predicativistic constructivism based on Martin-Löf type theory. Associated philosophical foundations are meaning theories in the tradition of Wittgenstein, Dummett, Prawitz and Martin-Löf. What is the relation between proof-theoretical semantics in the tradition of Gentzen, Prawitz, and Martin-Löf and Wittgensteinian or other accounts of meaning-as-use? What can proof-theoretical analyses tell us about the scope and limits of constructive and predicative mathematics? (shrink)

This work was presented at the Research Center for Philosophy of Science of the Ferdowsi University of Mashhad (Iran) – in Aug 2020. --- -/- Briefly, in the first section of this Persian book, first of all, I (Hereafter: the writer) have presented generalities of Aesthetics and an interpretation of aesthetic universality (Hereafter: φ) and it is argued that each definition of art has to admit φ and this is a Kantian, minimalist, and subjective perspective view (some others would incline (...) objective interpretation of φ, but it is beyond the purpose of this work). What’s more, this view could be applied to all definitions of art e.g. Functionalism, Conventionalism, or Hybrid Theories. Additionally, the writer has replied to some objections, those would promote definitions of art without φ, it seems that they could not be successful to refuse φ, since it appears that φ is a premise in every aesthetic judgment. Next, in another section, the writer has written some primary notes on creativity, those have come from contemporary literature of it, and it is argued that there is a relation between creativity and φ. It is also claimed that the relation is the same φ by the creative processes, creative products, and creative persons, both scientifically and philosophically; and so, the relation represents that φ is true. Besides that, the writer has presented some potential objections to the writer’s aspect of the relation and the writer has also replied to those objections. --- -/- In the next section of the book, the writer has applied the φ by creativity to the philosophy of animal-made art, the writer revolutionarily illustrates that first of all, the normativity of the philosophy of animal-made art is prior to the descriptive one. Second of all, φ is principally the criterion to know that animal-made art is impossible. The writer’s position recognizes those other works of animal aesthetics, which means aesthetics of all of the non-human creatures in the earth or cosmos as a new part of environmental aesthetics, is the marginally second order of animal aesthetics. It is owing to the fact that first of all, the question, of whether animal-made art is possible or not, is normative. Second of all, if one does not concern normativity of the question, then one could not get the answer to the nature of it. Next, one could not distinguish between on the one side, the pleasure of drinking water when one’s thirst may cause death, on the other side, the one’s pleasure of listening to music when there is no urgent necessity of it. The fourth argument is that one needs to identify the normativity of animal-made art because one could generalize aesthetic judgments if one sets φ as the basis of it, and then, one identifies that φ is one of the most fundamental bases in Aesthetics. --- -/- The main section of this book is that the writer’s argument -Animal-Made Art Impossibility Argument- is in favor of the impossibility of animal-made art i.e. Functionalist, Conventionalist, or Hybrid Theories of the definitions of animalmade art, also the writer has replied to some possible ideas and objections to the argument. --- -/- Pouya Lotfi Yazdi --- Iran | June 2022. (shrink)

Jordan Peterson has attracted a high level of attention. Controversies may bring people into contact with Peterson's work, but ideas are arguably what keep them there. Focusing on those ideas, this book explores Peterson’s answers to perennial questions. What is common to all humans, regardless of their background? Is complete knowledge ever possible? What would constitute a meaningful life? Why have humans evolved the capacity for intelligence? Should one treat others as individuals or as members of a group? Is a (...) single person powerless in the face of evil? What is the relation between speech, thought, and action? Why have religious myths and narratives figured so prominently in human history? Are the hierarchies we find in society good or bad? After devoting a chapter to each of these questions, Champagne unites the different strands of Peterson’s thinking in a handy summary. Champagne then spends the remaining third of the book articulating his main critical concerns. He argues that while building on tradition is inevitable and indeed desirable, Peterson’s individualist project is hindered by the non-revisable character and self-sacrificial content of religious belief. This engaging multidisciplinary study is ideal for those who know little about Peterson’s views, or for those who are familiar but want to see more clearly how Peterson’s views hang together. The debates spearheaded by Peterson are in full swing, so Myth, Meaning, and Antifragile Individualism should become a reference point for any serious engagement with Peterson’s ideas. (shrink)

According to David Chalmers, the hard problem of consciousness consists of explaining how and why qualitative experience arises from physical states. Moreover, Chalmers argues that materialist and reductive explanations of mentality are incapable of addressing the hard problem. In this chapter, I suggest that Chalmers’ hard problem can be usefully distinguished into a ‘how question’ and ‘why question,’ and I argue that evolutionary biology has the resources to address the question of why qualitative experience arises from brain states. From this (...) perspective, I discuss the different kinds of evolutionary explanations (e.g., adaptationist, exaptationist, spandrel) that can explain the origins of the qualitative aspects of various conscious states. This argument is intended to clarify which parts of Chalmers’ hard problem are amenable to scientific analysis. (shrink)

This paper will defend scientific study of the social by scrutinizing Clifford Geertz's interpretive anthropology, and evolutionary psychologists' criticism of it. I shall critically examine Geertz's identification of anthropology with literary criticism, his assumption that a science of society is possible only on a positivist model, his view of the relation between culture and mind, and his anti anti-relativism. Then I shall discuss evolutionary psychologists' criticism of Geertz's view as an exemplar of the so-called "Standard Social Science Model." Finally, I (...) shall claim that both Geertz and evolutionary psychologists misunderstand the aim of the social sciences, which is to explain the unintended consequences of human actions in institutional contexts. Key Words: Clifford Geertz • evolutionary psychology • interpretive anthropology • positivism • Standard Social Science Model (SSSM). (shrink)

Behavioral economics focuses mainly on how limitations of the human cognitive apparatus, risk attitudes, and human sociality affect decision making. The former two lead to deviations from rationality standards, the latter to deviations from rational self-interest. Some of these research interests are also shared by evolutionary psychology which, however, explains the observed deviations by features of the human genetic endowment conjectured to have evolved under fierce selection pressure in early human phylogeny. Important as the decision-making theoretical perspective of the two (...) disciplines is, it will be claimed to be too narrow to fully account for what an evolutionary approach has to say about economic behavior. This is particularly true regarding the questions of what choices are made and what causes them, i.e., the motivational aspects of behavior. In the language of economics this points to the agents’ preferences. This article discusses how preferences relate to the human genetic endowment, how they can change over time, and what conclusions have to be drawn from extending the analysis to the motivational side. (shrink)

Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli, and the origin of eukaryotic cells through endosymbiosis.

Nick Bostrom’s recently patched ‘‘simulation argument’’ (Bostrom in Philos Q 53:243–255, 2003; Bos- trom and Kulczycki in Analysis 71:54–61, 2011) purports to demonstrate the probability that we ‘‘live’’ now in an ‘‘ancestor simulation’’—that is as a simulation of a period prior to that in which a civilization more advanced than our own—‘‘post-human’’—becomes able to simulate such a state of affairs as ours. As such simulations under consid- eration resemble ‘‘brains in vats’’ (BIVs) and may appear open to similar objections, the (...) paper begins by reviewing objections to BIV-type proposals, specifically those due a presumed mad envatter. In counter example, we explore the motivating rationale behind current work in the development of psychologically realistic social simula- tions. Further concerns about rendering human cognition in a computational medium are confronted through review of current dynamic systems models of cognitive agency. In these models, aspects of the human condition are repro- duced that may in other forms be considered incomputable, i.e., political voice, predictive planning, and consciousness. The paper then argues that simulations afford a unique potential to secure a post-human future, and may be nec- essary for a pre-post-human civilization like our own to achieve and to maintain a post-human situation. Long-s- tanding philosophical interest in tools of this nature for Aristotle’s ‘‘statesman’’ and more recently for E.O. Wilson in the 1990s is observed. Self-extinction-level threats from State and individual levels of organization are compared, and a likely dependence on large-scale psychologically realistic simulations to get past self-extinction-level threats is projected. In the end, Bostrom’s basic argument for the conviction that we exist now in a simulation is reaffirmed. (shrink)

an exemplar of an approach that takes the human mind to be largely the product of social and cultural factors with negligible contributions from biology. The author argues that on the contrary, his sociological theory of the categories is compatible with the possibility of innate cognitive capacities, taking causal cognition as his example. Whether and to what extent there are such innate capacities is a question for research in the cognitive neurosciences. The extent to which these innate capacities can then (...) be explained by natural selection remains an open question for empirical investigation. Key Words: categories • causality • cognition • Durkheim • evolutionary psychology. (shrink)

Philosophy confronts two existential crises: the threats to its existence from scientists like Stephen Hawking who claim that philosophy is dead; and the threat to life itself from catastrophic climate change. The essay’s first theoretical part critiques Nietzsche’s claim that philosophy’s primary function is to guarantee the future of life. The essay’s second practical part claims that philosophy must meet the challenge of life’s extinction through a revised model for ethics in education. Taking its start from recent conceptualizations of philosophy (...) as a ‘field discipline,’ this part considers African American models for delivering ethics in education to under-resourced communities. The third part shows how these theoretical models may be actualized in the practice of an African field philosopher. (shrink)

I claim that explanations of human behaviour by Edward O. Wilsonand Charles Lumsden are constituted by a religiously functioningmetaphysics: emergent materialism. The constitutive effects areidentified using six criteria, beginning with a metaphorical re-description of dissimilarities between levels of organization interms of the lower level, and consist of conceptual andexplanatory reductions (CER). Wilson and Lumsden practice CER,even though CER is not required by emergent materialism. Theypreconceive this practice by a re-description which conflates thelevels of organization and explain failure of CER in (...) terms oftechnical, not ontological or epistemological reasons. Iinterpret these three practices as a reaction of Wilson againsthis early Christian religious beliefs. Statements by Wilsonindicate this reaction ultimately constitutes his explanations ofsocial, moral and religious behaviour.Tested knowledge about matter at the lower level functions as ametaphysical belief when applied to the higher level becausethere it is untested. I offer twelve criteria for the diagnosisof religious functions of this metaphysical materialism, five ofwhich are satisfied. I show that the constitutive effects of thismaterialism in sociobiology are due to its religious functions,are beneficial for science and do not destroy its public nature. (shrink)

This paper offers a conceptualmodel for participatory research projects thataim to improve the sustainability ofagriculture and natural resource management.The purpose of the model is to provide asystematic framework that can guide the designof participatory research projects, theiranalysis, and the documentation of results. Inthe model, conceptual boundaries are drawnbetween research and development, developmentand extension and between extension andimplementation. Objectives, activities, andactors associated with each of these realmsneed to be carefully selected, monitored, andevaluated throughout the course of a projectusing well-designed indicators. The (...) depth ofdisciplinary and methodological integration,and quality of participation needed to reachthe desired impact effectively and efficiently,however, needs to be determined on acase-by-case basis depending on the context andissues surrounding each particular project. (shrink)

Using the notorious bridge law “water is H 2 O” and the relation between molecular structure and quantum mechanics as examples, I argue that it doesn’t make sense to aim for specific definition(s) of intertheoretical or interdiscourse relation(s) between chemistry and physics (reduction, supervenience, what have you). Proposed definitions of interdiscourse and part-whole relations are interesting only if they provide insight in the variegated interconnected patchwork of theories and beliefs. There is “automatically” some sort of interdiscourse relation if different discourses (...) claim to have something to say about the same situation (event, system), which is the basis of (contingent) local supervenience relations, which, proper empirically support being provided, can be upgraded to ceteris paribus bridge laws. Because of the ceteris paribus feature, and the discourse dependence of event identification, there is at best only global supervenience of the “special sciences” on the physical (and of parts of physics on other parts of physics). (shrink)

This commentary focuses on the parts of psychological game theory dealing with preference, as illustrated by team reasoning, and supports the conclusion that these theoretical notions do not contribute above and beyond existing theory in understanding social interaction. In particular, psychology and games are already bridged by a comprehensive, formal, and inherently psychological theory, interdependence theory (Kelley & Thibaut 1978; Kelley et al. 2003), which has been demonstrated to account for a wide variety of social interaction phenomena.

In the nineteenth century, there was substantial and sophisticated interest in neuroscience on the part of social theorists, including Comte and Spencer, and later Simon Patten and Charles Ellwood. This body of thinking faced a dead end: it could do little more than identify highly general mechanisms, and could not provide accounts of such questions as `why was there no proletarian revolution?' Psychologically dubious explanations, relying on neo-Kantian views of the mind, replaced them. With the rise of neuroscience, however, some (...) of the problems of concern to earlier thinkers, such as imitation, have revived because of the discovery of neuronal mechanisms, or through fMRI studies. The article reviews the history and discusses the implications of current work for the reconsideration of traditional social theory concepts. It is suggested that certain kinds of bridging work with neuroscience would enable us to answer many questions in social theory that empirical sociology has failed to answer. (shrink)

Globalization, with its undisputed benefits, also presents complex moral challenges that business leaders cannot ignore. Some of this moral complexity is attributable to the scope and nature of specific issues like climate change, intellectual property rights, economic inequity, and human rights. More difficult aspects of moral complexity are the structure and dynamics of human moral judgment and the amplified universe of global stakeholders with competing value claims and value systems whose interests must be considered and often included in the decision-making (...) process. While managing moral challenges is considered in management literature to be a legitimate and crucial function of business leadership, the complexity of moral challenges in a globalized business culture stretches the managerial capacities of individuals who rely on a personal moral compass and their own wisdom traditions of philosophy or religion for guidance. The Global Moral Compass introduces an expanded epistemic value framework as an aid to understanding and managing moral complexity in a globalized business culture. (shrink)

Studies of the conceptual abilities of nonhuman primates demonstrate the substantial range of these abilities as well as their limitations. Such abilities range from categorization on the basis of shared physical attributes, associative relations and functions to abstract concepts as reflected in analogical reasoning about relations between relations. The pattern of results from these studies point to a fundamental distinction between monkeys and apes in both their implicit and explicit conceptual capacities. Monkeys, but not apes, might be best regarded as (...) “paleo‐logicans” in the sense that they form common class concepts of identity on the basis of identical predicates (i.e., shared features). The discrimination of presumably more abstract relations commonly involves relatively simple procedural strategies mediated by associative processes likely shared by all mammals. There is no evidence that monkeys can perceive, let alone judge, relations‐between‐relations. This analogical conceptual capacity is found only in chimpanzees and humans. Interestingly, the “analogical ape,” like the child, can make its analogical knowledge explicit only if it is first provided with a symbol system by which propositional representations can be encoded and manipulated. (shrink)

Despite the success of artificial intelligence, we are still far away from AI that model the world as humans do. This study focuses for explaining human behavior from intuitive mental models’ perspectives. We describe how behavior arises in biological systems and how the better understanding of this biological system can lead to advances in the development of human-like AI. Human can build intuitive models from physical, social, and cultural situations. In addition, we follow Bayesian inference to combine intuitive models and (...) new information to make decisions. We should build similar intuitive models and Bayesian algorithms for the new AI. We suggest that the probability calculation in Bayesian sense is sensitive to semantic properties of the objects’ combination formed by observation and prior experience. We call this brain process as computational meaningfulness and it is closer to the Bayesian ideal, when the occurrence of probabilities of these objects are believable. How does the human brain form models of the world and apply these models in its behavior? We outline the answers from three perspectives. First, intuitive models support an individual to use information meaningful ways in a current context. Second, neuroeconomics proposes that the valuation network in the brain has essential role in human decision making. It combines psychological, economical, and neuroscientific approaches to reveal the biological mechanisms by which decisions are made. Then, the brain is an over-parameterized modeling organ and produces optimal behavior in a complex word. Finally, a progress in data analysis techniques in AI has allowed us to decipher how the human brain valuates different options in complex situations. By combining big datasets with machine learning models, it is possible to gain insight from complex neural data beyond what was possible before. We describe these solutions by reviewing the current research from this perspective. In this study, we outline the basic aspects for human-like AI and we discuss on how science can benefit from AI. The better we understand human’s brain mechanisms, the better we can apply this understanding for building new AI. Both development of AI and understanding of human behavior go hand in hand. (shrink)

The extraordinary complexity of knowledge in today's world creates a paradox. On the one hand, its sheer volume and intricacy demand disciplinary specialization, even sub-specialization; innovative research or scholarship increasingly requires immersion in the details of one's disciplinary dialogue. On the other hand, that very immersion can limit innovation. Disciplinary specialization inhibits faculty from broadening their intellectual horizons - considering questions of importance outside their discipline, learning other methods for answering these questions and pondering the possible significance of other disciplines' (...) findings for their own work. This article seeks to understand more fully the factors that enhance and impede cross-disciplinary conversations and the possible longer-term effects of those conversations. Based on 46 interviews with a sample of seminar participants, it examines the experiences of faculty members who ventured (voluntarily) into multidisciplinary waters and its implications for the organization of disciplines and universities. (shrink)

In this paper I explore the psychology of ritual performance and present a simple graphical model that clarifies several issues in William Irons’s theory of religion as a “hard-to-fake” sign of commitment. Irons posits that religious behaviors or rituals serve as costly signals of an individual’s commitment to a religious group. Increased commitment among members of a religious group may facilitate intra-group cooperation, which is argued to be the primary adaptive benefit of religion. Here I propose a proximate explanation for (...) how individuals are able to pay the short-term costs of ritual performance to achieve the long-term fitness benefits offered by religious groups. The model addresses three significant problems raised by Irons’s theory. First, the model explains why potential free-riders do not join religious groups even when there are significant net benefits that members of religious groups can achieve. Second, the model clarifies how costly a ritual must be to achieve stability and prevent potential free-riders from joining the religious group. Third, the model suggests why religious groups may require adherents to perform private rituals that are not observed by others. Several hypotheses generated from the model are also discussed. (shrink)