According to cognitive science of religion (CSR) people naturally veer toward beliefs that are quite divergent from Anselmian monotheism or Christian theism. Some authors have taken this view as a starting point for a debunking argument against religion, while others have tried to vindicate Christian theism by appeal to the noetic effects of sin or the Fall. In this paper, we ask what theologians can learn from CSR about the nature of the divine, by looking at the CSR literature (...) and what it identifies as commonalities across religions. We use a pluralist, non-confessional approach to outline properties of the divine. We connect our approach to Hick’s religious pluralism, Ramakrishna’s realization of God through multiple spiritual paths, and Gellman’s inexhaustible plenitude. (shrink)

Credences are similar to levels of confidence, represented as a value on the [0,1] interval. This chapter sheds light on questions about credence, including its relationship to full belief, with an eye toward the empirical relevance of credence. First, I’ll provide a brief epistemological history of credence and lay out some of the main theories of the nature of credence. Then, I’ll provide an overview of the main views on how credences relate to full beliefs. Finally, I’ll turn to the (...) empirical, and suggest some ways that cognitive science does and could answer questions about credence, such as what credences one has, how credences relate to beliefs, and the extent to which we can control our credences. (shrink)

Many philosophers insist that the revisionary metaphysician—i.e., the metaphysician who offers a metaphysical theory which conflicts with folk intuitions—bears a special burden to explain why certain folk intuitions are mistaken. I show how evidence from cognitive science can help revisionist discharge this explanatory burden. Focusing on composition and persistence, I argue that empirical evidence indicates that the folk operate with a promiscuous teleomentalist view of composition and persistence. The folk view, I argue, deserves to be debunked. In this way, (...) I take myself to have illustrated one key role cognitive science can play in metaphysics; namely by helping the revisionary metaphysician discharge the explanatory burden of providing a plausible explanation of how the folk have gone wrong. (shrink)

How can we think about things in the outside world? There is still no widely accepted theory of how mental representations get their meaning. In light of pioneering research, Nicholas Shea develops a naturalistic account of the nature of mental representation with a firm focus on the subpersonal representations that pervade the cognitive sciences.

The cultural transmission of theological concepts remains an underexplored topic in the cognitive science of religion (CSR). In this paper, I examine whether approaches from CSR, especially the study of content biases in the transmission of beliefs, can help explain the cultural success of some theological concepts. This approach reveals that there is more continuity between theological beliefs and ordinary religious beliefs than CSR authors have hitherto recognized: the cultural transmission of theological concepts is influenced by content biases that (...) also underlie the reception of ordinary religious concepts. (shrink)

It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the (...) phenomenon to be explained, the kind of unification afforded by the Bayesian framework to cognitive science does not necessarily reveal aspects of a mechanism. Bayesian unification, nonetheless, can place fruitful constraints on causal–mechanical explanation. 1 Introduction2 What a Great Many Phenomena Bayesian Decision Theory Can Model3 The Case of Information Integration4 How Do Bayesian Models Unify?5 Bayesian Unification: What Constraints Are There on Mechanistic Explanation?5.1 Unification constrains mechanism discovery5.2 Unification constrains the identification of relevant mechanistic factors5.3 Unification constrains confirmation of competitive mechanistic models6 ConclusionAppendix. (shrink)

Cognitive science is an interdisciplinary conglomerate of various research fields and disciplines, which increases the risk of fragmentation of cognitive theories. However, while most previous work has focused on theoretical integration, some kinds of integration may turn out to be monstrous, or result in superficially lumped and unrelated bodies of knowledge. In this paper, I distinguish theoretical integration from theoretical unification, and propose some analyses of theoretical unification dimensions. Moreover, two research strategies that are supposed to lead to (...) unification are analyzed in terms of the mechanistic account of explanation. Finally, I argue that theoretical unification is not an absolute requirement from the mechanistic perspective, and that strategies aiming at unification may be premature in fields where there are multiple conflicting explanatory models. (shrink)

Comparative cognitive science often involves asking questions like ‘Do nonhumans have C?’ where C is a capacity we take humans to have. These questions frequently generate unproductive disagreements, in which one party affirms and the other denies that nonhumans have the relevant capacity on the basis of the same evidence. I argue that these questions can be productively understood as questions about natural kinds: do nonhuman capacities fall into the same natural kinds as our own? Understanding such questions in (...) this way has several advantages: it preserves the intuition that these are substantive empirical questions worth asking; it helps us to understand why they so frequently give rise to disagreements of the kind described; and it provides clues about how to diagnose and resolve them. (shrink)

Bayesian cognitive science is a research programme that relies on modelling resources from Bayesian statistics for studying and understanding mind, brain, and behaviour. Conceiving of mental capacities as computing solutions to inductive problems, Bayesian cognitive scientists develop probabilistic models of mental capacities and evaluate their adequacy based on behavioural and neural data generated by humans (or other cognitive agents) performing a pertinent task. The overarching goal is to identify the mathematical principles, algorithmic procedures, and causal mechanisms that (...) enable cognitive agents to take uncertainty into account and weigh it appropriately in producing adaptive behaviour. -/- The appeal of Bayesian cognitive science derives from its transparency, normativity, and unifying power. Resources from Bayesian statistics allow cognitive scientists to characterise transparently, in terms of random variables and probabilistic dependencies between them, the inductive problems that many mental capacities are presumed to solve. Given this characterisation, researchers can define an upper bound on one’s performance on that problem and use it as a benchmark for interpreting experimental results, formulating hypotheses about why and when deviations from optimal performance should be expected, and seeking explanations of mental capacities within one encompassing theoretical framework. -/- Although critics question the testability, explanatory power, and plausibility of Bayesian models of mental capacities, Bayesian cognitive science has proved itself to be an incredibly fruitful research programme. Fuelled by empirical and theoretical results from psychology, neuroscience, philosophy, computer science, artificial intelligence, and evolution, Bayesian cognitive science has: advanced our understanding of why cognitive systems should keep track of uncertainty and use it to facilitate adaptive behaviour; clarified how the brain might encode information about the uncertainty of its stimuli and perform computations with probability distributions; and crystallised the insight that cognitive agents’ management of uncertainty might be grounded in predictive processes aimed at avoiding surprising exchanges with the environment. (shrink)

A cognitive science perspective of yoga system of thought will be developed in conjugation with the Samkhya Darsana. This development will be further advanced using Advaita Vedanta and will be translated into modern scientific terms to arrive at an idea about cognition process. The stalling of the cognitive process and stilling the mind will be critically discussed in the light of this perspective. This critical analysis and translation into cognitive science and modern scientific terms will be presented (...) together with its implications and applications to the disciplines of mind-machine modeling, natural language comprehension branch of artificial intelligence and physiological psychology. (shrink)

Human behavior and thought often exhibit a familiar pattern of within group similarity and between group difference. Many of these patterns are attributed to cultural differences. For much of the history of its investigation into behavior and thought, however, cognitive science has been disproportionately focused on uncovering and explaining the more universal features of human minds—or the universal features of minds in general. -/- This entry charts out the ways in which this has changed over recent decades. It sketches (...) the motivation behind the cultural turn in cognitive science, and situates some of its central findings with respect to the questions that animate it and the debates that it has inspired. Woven throughout the entry are examples of how the cognitive science of culture, and especially its elevated concern with different forms of diversity and variation, continues to influence and be influenced by philosophers. -/- One cluster of philosophical work falls within the traditional subject matter of philosophy of science, in this case of the cognitive and social sciences. Philosophers have analyzed and assessed the methods and evidence central to the scientific study of cognition and culture, and have offered conceptual scrutiny, clarification, and synthesis. Research in a second vein sees philosophers themselves contributing more directly to cognitive scientific projects, (co)constructing theories, helping build computational models, even gathering empirical data. A third kind of work is naturalistic philosophy or philosophy of nature, wherein philosophers seek to use results from the cognitive science of culture to inform or transform debates over long-standing philosophical questions, including questions about the nature of philosophy and philosophical methodology itself. (shrink)

Launonen and Mullins argue that if Classical Theism is true, human cognition is likely not theism-tracking, at least, given what we know from cognitive science of religion. In this essay, we develop a model for how classical theists can make sense of the findings from cognitive science, without abandoning their Classical Theist commitments. We also provide an argument for how our model aligns well with the Christian doctrine of general revelation.

Cognitive science of religion (CSR) raises a number of issues that are of interest to theologians and philosophers of religion. The latter have focused primarily on the epistemological implications of CSR, that is, whether science shows religious belief to be irrational or unjustified. Another broad question is whether CSR is compatible with theism and Christian theology. Theological doctrines, such as Calvin’s views about sensus divinitatis and the noetic effects of sin, play an important part in these conversations. Less attention (...) has been directed to how CSR can function as a source for theological and philosophical inquiry. So far, CSR has been invoked in discussions on the natural knowledge of God, classical theism and divine hiddenness. This article provides an overview of the recent philosophical and theological engagements with CSR. (shrink)

Cognitive science is a highly multidisciplinary and comprehensive subject in unraveling the mysteries of human mind. It investigates the most frontier scientific issues which able to influence the human destiny in future development, and has received widespread attention from the community. Based on a myriad of up-to-date information and data, this review introduces the status quo of cognitive science research around the globe, analyzes the future trends of its development, discusses the prospective application of cognitive science, and (...) points out the challenge facing the future generation of cognition researchers. (shrink)

The cognitive science of belief is a burgeoning field, with insights ranging from detailing the fundamental structure of the mind, to explaining the spread of fake news. Here we highlight how new insights into belief acquisition, storage, and change can transform our understanding of psychiatric disorders. Although we focus on monothematic delusions, the conclusions apply more broadly. -/- .

The past twenty years have seen an increase in the importance of the body in psychology, neuroscience, and philosophy of mind. This 'embodied' trend challenges the orthodox view in cognitive science in several ways: it downplays the traditional 'mind-as-computer' approach and emphasizes the role of interactions between the brain, body, and environment. In this article, I review recent work in the area of embodied cognitive science and explore the approaches each takes to the ideas of consciousness, computation and (...) representation. Finally, I look at the current relationship between orthodox cognitive science and the study of mental disorder, and consider the implications that the embodied trend could have for issues in psychopathology. (shrink)

As the pluralization in the title of MITECS suggests, and as many reviewers have noted, the stance that we adopted as general editors for this project was ecumenical. We were particularly concerned to generate a volume whose range of topics and perspectives indicated that “cognitive science” was different things to different groups of researchers, and that many even fundamental questions remain open after at least four decades of various interdisciplinary ventures. Implicit in this view is a wariness of any (...) putative magic key to understanding the complexities of cognition in all of its diversity, and the hope that by providing a forum in which this range of work could be reviewed by anyone with time and inclination, the field as a whole would be better positioned to reflect on its future directions. Readers of the preceding reviews might be interested in a few words about the development of the project. Contracted in the early summer of 1995, MITECS began as a volume projected at half of its eventual size, but with roughly the same scope it has in published form. The general editors, Frank Keil and myself, had been thinking about a volume of this sort independently over the preceding year or so, and so much of the structure of the volume was already outlined by mid-1995. Thus, we were able to move relatively quickly in the second half of 1995 to assemble a team of 9 advisory editors for the six sections that constitute the organization of the volume; as reviewers have noted, the presence of these sections in the print version is manifest primarily by the six overview essays that occupy the first 100 or so pages in MITECS. (shrink)

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

This article intends to briefly discuss the relevant knowledge and experience of cognitive science research, and also to seek advice from colleagues in the academic circle and all scholars who are concerned about the development of cognitive science.

According to the “Embodied Cognition” entry in the Stanford Encyclopedia of Philosophy, the three landmark texts in the 4E cognitive science tradition are Lakoff and Johnson’s Metaphors We Live By, Varela, Thompson, and Rosch’s The Embodied Mind, and Andy Clark’s Being There. In my first section, I offer a phenomenological interpretation of these three texts, identifying recuring affirmations of the figure of dance alongside explicit marginalization of the practice of dance, perhaps in part due to cognitive science’s overemphasis (...) on cognition to the exclusion of affect. In my second section, drawing on my previous interpretations of proto-affect theorists (including Spinoza, Deleuze, and Fanon), I channel this tension in 4E cognitive science into a dancing partnership with human science psychology, suggesting three “choreographic provocations” for therapeutic practice and psychological research, namely (1) treating clients/subjects as dancers, (2) reimagining research and therapy as improvised duets between practitioners and clients/subjects, and (3) pursuing an ideal of freer movement and an emergent flourishing singularity for clients/subjects. Finally, I reformulate these three choreographic provocations in terms of my new theoretical method of “dancing-with,” as well as the four psychological prerequisites for flourishing posited by my figuration philosophy of dance. (shrink)

The Cognitive Science of Religion represents a contemporary attempt at a naturalistic explanation of religion. There is debate as to whether its account of how religious beliefs arise is reconcilable with the religious account, which holds that religious beliefs are caused by God. In my paper, I argue that these two accounts cannot be reconciled when it comes to the specific question of how Christian religious beliefs arise if one accepts an important theological doctrine of the supernaturality of Christian (...) belief. This doctrine implies that there can be no natural explanation for how Christian beliefs arise because they are a gift of divine grace. This leads to a conundrum for Christian theists: they can either reject the CSR account of how their religious beliefs arise, or they can reject the supernaturality of Christian belief. I argue that the latter is preferable. I then draw on the work of the theologian Denis Edwards to illustrate how one can drop this doctrine without abandoning some other fundamental tenets of Christian theology. (shrink)

Nicholas Shea offers Varitel Semantics as a naturalistic account of mental content. I argue that the account secures determinate content only by appeal to pragmatic considerations, and so it fails to respect naturalism. But that is fine, because representational content is not, strictly speaking, necessary for explanation in cognitive science. Even in Shea’s own account, content serves only a variety of heuristic functions.

In the late summer of 1998, the authors, a cognitive scientist and a logician, started talking about the relevance of modern mathematical logic to the study of human reasoning, and we have been talking ever since. This book is an interim report of that conversation. It argues that results such as those on the Wason selection task, purportedly showing the irrelevance of formal logic to actual human reasoning, have been widely misinterpreted, mainly because the picture of logic current in (...) psychology and cognitive science is completely mistaken. We aim to give the reader a more accurate picture of mathematical logic and, in doing so, hope to show that logic, properly conceived, is still a very helpful tool in cognitive science. The main thrust of the book is therefore constructive. We give a number of examples in which logical theorizing helps in understanding and modeling observed behavior in reasoning tasks, deviations of that behavior in a psychiatric disorder (autism), and even the roots of that behavior in the evolution of the brain. (shrink)

Eugenic thinking involves distinguishing between sorts or kinds of people in terms of the perceived desirable or undesirable traits that those people are likely to transmit to future generations. While eugenics itself is often thought of as an ideology that generated a social movement of global influence from roughly 1900 to 1945, eugenic thinking both pre-dates this period and continues to inform a range of contemporary debates and social policies, including those concerning prenatal screening, transhumanism, population control, and disability. Various (...) sciences, including the then-nascent sciences of psychology and psychiatry, played important roles in early twentieth-century eugenics, and their legacy is reflected in contemporary eugenic thinking and policies. Understanding the history of eugenics and the role of these early sciences of cognition in that history is useful in reflecting further on ongoing forms of eugenic thinking to which the contemporary cognitive sciences are relevant. (shrink)

The paper argues that it is the rise of Artificial Intelligence as a concrete possibility (the idea of a thinking machine) that favoured the growth of interest in Cognitive Science within the academic community. This puts the history and the definition of AI in a different light, as it can be seen and understood as "a continuation of Philosophy by other means" (Landi, 2020) and not merely as a technology or a sum of technologies.

This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico-engineering framework for the philosophical theory of materialism.

Using path-breaking discoveries of cognitive science, Mark Johnson argues that humans are fundamentally imaginative moral animals, challenging the view that morality is simply a system of universal laws dictated by reason. According to the Western moral tradition, we make ethical decisions by applying universal laws to concrete situations. But Johnson shows how research in cognitive science undermines this view and reveals that imagination has an essential role in ethical deliberation. Expanding his innovative studies of human reason in Metaphors (...) We Live By and The Body in the Mind, Johnson provides the tools for more practical, realistic, and constructive moral reflection. (shrink)

In this article I take an unusual starting point from which to argue for a unified cognitive science, namely a position defined by what is sometimes called the ‘life-mind continuity thesis’. Accordingly, rather than taking a widely accepted starting point for granted and using it in order to propose answers to some well defined questions, I must first establish that the idea of life-mind continuity can amount to a proper starting point at all. To begin with, I therefore assess (...) the conceptual tools which are available to construct a theory of mind on this basis. By drawing on insights from a variety of disciplines, especially from a combination of existential phenomenology and organism-centered biology, I argue that mind can indeed be conceived as rooted in life, but only if we accept at the same time that social interaction plays a constitutive role for our cognitive capacities. (shrink)

As this book makes clear, current use of data structures such as frames, scripts, and stereotypes in psychology, artificial intelligence, and all the other disciplines now grouped together as Cognitive Science develop ideas already explored by Husserl who believed that the analysis of mental representations was the proper subject of philosophy, psychology, and other disciplines that deal with the mind. This new anthology will serve as an ideal introduction to phenomenology for analytic philosophers, both as a text and as (...) the single most useful source book on Husserl for cognitive scientists. An MIT Press/Bradford Book. (shrink)

Cognitive science is ready for a major reconceptualization. This is not at all because efforts by its practitioners have failed, but rather because so much progress has been made. The need for reconceptualization arises from the fact that this progress has come at greater cost than necessary, largely because of more or less philosophical (at least metatheoretical) straightjackets still worn - whether wittingly or not - by those doing the work. These bonds are extremely hard to break. Even some (...) of those who have directed powerful arguments against them have failed entirely to shake them off. The bonds are often attributed to the work of René Descartes, but they are really much older than that. If even in the present effort, I fail entirely to remove the straightjacket myself (even though I am making every attempt to get it off), this will testify to its tight grip. The straightjacket I am thinking about, of course, is the vague picture of the human situation that imagines centralized, internal minds in control of bodily machines. While almost no one in the contemporary cognitive science arena imagines minds to be the kind of thing Descartes took them to be - instantiations of a unique, fully non-material substance - there is nevertheless a deep resistance, even among the most fervent professed "materialists," to giving up this picture. In what follows, I shall try to offer an approach which on the one hand capitalizes on the excellent progress that has been made in cognitive science in the last few decades, and which on the other hand offers a general approach that may help at some level in the attempt to shake "Cartesian" bonds. The approach, as the alert reader already knows from the title of the essay, is an "ecological" approach. (shrink)

This book consists of an edited collection of original essays of the highest academic quality by seasoned experts in their fields of cognitive science. The essays are interdisciplinary, drawing from many of the fields known collectively as “the cognitive sciences.” Topics discussed represent a significant cross-section of the most current and interesting issues in cognitive science. Specific topics include matters regarding machine learning and cognitive architecture, the nature of cognitive content, the relationship of information (...) to cognition, the role of language and communication in cognition, the nature of embodied cognition, selective topics in visual cognition, brain connectivity, computation and simulation, social and technological issues within the cognitive sciences, and significant issues in the history of neuroscience. This book will be of interest to both professional researchers and newer students and graduate students in the fields of cognitive science—including computer science, linguistics, philosophy, psychology and neuroscience. The essays are in English and are designed to be as free as possible of technical jargon and therefore accessible to young scholars and to scholars who are new to the cognitive neurosciences. In addition to several entries by single authors, the book contains several interesting roundtables where researchers contribute answers to a central question presented to those in the focus group on one of the core areas listed above. This exciting approach provides a variety of perspectives from across disciplines on topics of current concern in the cognitive sciences. (shrink)

Enactivist (Embodied, Embedded, etc.) approaches in cognitive science and philosophy of mind are sometimes, though not always, conjoined with an anti-representational commitment. A weaker anti-representational claim is that ascribing representational content to internal/sub-personal processes is not compulsory when giving psychological explanations. A stronger anti-representational claim is that the very idea of ascribing representational content to internal/sub-personal processes is a theoretical confusion. This paper criticises some of the arguments made by Hutto & Myin (2013, 2017) for the stronger anti-representational claim (...) and suggests that the default Enactivist view should be the weaker non-representational position. (shrink)

Abstract The word Padaartha, used as a technical term by different Indian schools of thought with different senses will be brought out. The meaning and intonation of the word Padaartha as used in the Upanishads, Brahmajnaana, Advaitha Philosophy, Sabdabrahma Siddhanta (Vyaakarana), the Shaddarshanas will be discussed. A comprehensive gist of this discussion will be presented relating to human consciousness, mind and their functions. The supplementary and complementary nature of these apparently “different” definitions will be conformed from cognitive science point (...) of view in understanding and a modern scientific model of human cognition and communication, language acquisition and in terms of brain modulation and demodulation will be presented. (shrink)

This brief commentary has three goals. The first is to argue that ‘‘framework debate’’ in cognitive science is unresolvable. The idea that one theory or framework can singly account for the vast complexity and variety of cognitive processes seems unlikely if not impossible. The second goal is a consequence of this: We should consider how the various theories on offer work together in diverse contexts of investigation. A final goal is to supply a brief review for readers who (...) are compelled by these points to explore existing literature on the topic. Despite this literature, pluralism has garnered very little attention from broader cognitive science. We end by briefly considering what it might mean for theoretical cognitive science. (shrink)

Back when researchers thought about the various forms that color vision could take, the focus was primarily on the retinal mechanisms. Since that time, research on human color vision has shifted from an interest in retinal mechanisms to cortical color processing. This has allowed color research to provide insight into questions that are not limited to early vision but extend to cognition. Direct cortical connections from higher-level areas to lower-level areas have been found throughout the brain. One of the classic (...) questions in cognitive science is whether perception is influenced, and if so to what extent, by cognition and whether a clear distinction can be drawn between perception and cognition. Since perception is seen as providing justification for our beliefs about properties in the external world, these questions also have metaphysical and epistemological significance. The aim of this paper is to highlight some of the areas where research on color perception can shed new light on questions in the cognitive sciences. A further aim of the paper is to raise some questions about color research that are in dire need of further reflection and investigation. (shrink)

Context: The majority of contemporary enactivist work is influenced by the philosophical biology of Hans Jonas. Jonas credits all living organisms with experience that involves particular “existential” structures: nascent forms of concern for self-preservation and desire for objects and outcomes that promote well-being. We argue that Jonas’s attitude towards living systems involves a problematic anthropomorphism that threatens to place enactivism at odds with cognitive science, and undermine its legitimate aims to become a new paradigm for scientific investigation and understanding (...) of the mind. Problem: Enactivism needs to address the tension between its Jonasian influences and its aspirations to become a new paradigm for cognitive science. By relying on Jonasian phenomenology, contemporary enactivism obscures alternative ways in which phenomenology can be more smoothly integrated with cognitive science. Method: We outline the historical relationship between enactivism and phenomenology, and explain why anthropomorphism is problematic for a research program that aspires to become a new paradigm for cognitive science. We examine the roots of Jonas’s existential interpretation of biological facts, and describe how and why Jonas himself understood his project as founded on an anthropomorphic assumption that is incompatible with a crucial methodological assumption of scientific enquiry: the prohibition of unexplained natural purposes. We describe the way in which phenomenology can be integrated into Maturana’s autopoietic theory, and use this as an example of how an alternative, non-anthropomorphic science of the biological roots of cognition might proceed. Results: Our analysis reveals a crucial tension between Jonas’s influence on enactivism and enactivism’s paradigmatic aspirations. This suggests the possibility of, and need to investigate, other ways of integrating phenomenology with cognitive science that do not succumb to this tension. Implications: In light of this, enactivists should either eliminate the Jonasian inference from properties of our human experience to properties of the experience of all living organisms, or articulate an alternative conception of scientific enquiry that can tolerate the anthropomorphism this inference entails. The Maturanian view we present in the article’s final section constitutes a possible framework within which enactivist tools and concepts can be used to understand cognition and phenomenology, and that does not involve a problematic anthropomorphism. Constructivist content: Any constructivist approach that aims for integration with current scientific practice must either avoid the type of anthropomorphic inference on which Jonas bases his work, or specify a new conception of scientific enquiry that renders anthropomorphism unproblematic. (shrink)

Hume is an experimental philosopher who attempts to understand why we think, feel, and act as we do. But how should we evaluate the adequacy of his proposals? This chapter examines Hume’s account from the perspective of interdisciplinary work in cognitive science.

Hume once argued the basic science to be not physics but “the science of man” and the foundation of this science to be the empiricist mechanism of association governed by the law of similarity in appearance—now more popular than ever in the form of artificial neural networks. I update Hume’s picture by showing phenomenology to be centrally concerned with providing a unifying basis for all the sciences (including physics) by going beyond the psychology of associationism (passive synthesis) to reveal (...) phenomena that are irreducibly syntactic (not associative) in structure. I therefore argue that the language of thought (LOT) is the necessary mechanism at the basis of these descriptive phenomena. I conclude by sketching a new picture of all the sciences unified by LOT based on Husserl’s opposition to Galilean “physicomathematical” science vis-à-vis the life-world (Lebenswelt). (shrink)

Advancing our understanding of one of the most influential 20th-century philosophers, Robert Vinten brings together an international line up of scholars to consider the relevance of Ludwig Wittgenstein's ideas to the cognitive science of religion. Wittgenstein's claims ranged from the rejection of the idea that psychology is a 'young science' in comparison to physics to challenges to scientistic and intellectualist accounts of religion in the work of past anthropologists. Chapters explore whether these remarks about psychology and religion undermine the (...) frameworks and practices of cognitive scientists of religion. Employing philosophical tools as well as drawing on case studies, contributions not only illuminate psychological experiments, anthropological observations and neurophysical research relevant to understanding religious phenomena, they allow cognitive scientists to either heed or clarify their position in relation to Wittgenstein's objections. By developing and responding to his criticisms, Wittgenstein and the Cognitive Science of Religion offers novel perspectives on his philosophy in relation to religion, human nature, and the mind. Contents: Introduction (Robert Vinten); Ch.1: 'Wittgenstein, Concepts, and Human Nature' (Roger Trigg); Ch.2: 'On Truth, Language, and Objectivity' (Florian Franken Figueiredo); Ch.3 'Pascal Boyer's Miscellany of Homunculi: A Wittgensteinian Critique of Religion Explained' (Robert Vinten); Ch.4 'The Brain Perceives/Infers' (Hans van Eyghen); Ch.5 'The Imaginary Inner Inside Cognitive Science of Religion' (Christopher Hoyt); Ch.6 'Cognitive Theories and Wittgenstein: Looking for Convergence not for Divergence' (Olympia Panagiotidou); Ch. 7 'Wittgenstein, Naturalism, and Interpreting Religious Phenomena' (Thomas Carroll); Ch.8 'Natural Thoughts and Unnatural Oughts: Lessing, Wittgenstein, and Contemporary CSR' (Guy Axtell); Ch.9 'Normative Cognition in Cognitive Science of Religion' (Mark Addis); Ch.10 'Brains as the Source of Being: Mind/Brain Focus and the Western Model of Mind in Dominant Cognitive Science Discourse' (Rita McNamara); Ch.11 'On Religious Practices as Multiscale Active Inference: Certainties Emerging From Recurrent Interactions Within and Across Individuals and Groups' (Inês Hipólito and Casper Hesp). (shrink)

This special issue on what some regard as a crisis of replicability in cognitive science (i.e. the observation that a worryingly large proportion of experimental results across a number of areas cannot be reliably replicated) is informed by three recent developments. -/- First, philosophers of mind and cognitive science rely increasingly on empirical research, mainly in the psychological sciences, to back up their claims. This trend has been noticeable since the 1960s (see Knobe, 2015). This development has (...) allowed philosophers to draw on a wider range of relevant resources, but it also makes them vulnerable to relying on claims that may not survive further scrutiny. If we have reasons to believe that a large proportion of findings in the psychological sciences cannot be reliably replicated, this would be a problem for philosophers who use such findings in their work. Second, philosophers are increasingly designing and carrying out their own experiments to back up claims, or to test claims earlier made from the armchair, for example, on the perceived permissibility of diverting trolleys or on the nature of free will. This growing field of experimental philosophy has diversified the intellectual field in philosophy, but may also be vulnerable to issues of replicability that philosophers did not face before. -/- Third, the recent evidence of apparently widespread non-replicability in the social sciences (and other fields) has forced philosophers of science to grapple with long standing questions from their field from a new perspective. To what extent does replicability matter for theory construction? How do the notions of replicability and scientific progress interact? How can normative insights from philosophy of science be used in order to improve scientific practice? -/- It is with these three developments in mind—the increasing importance of empirically-informed philosophy, of experimental philosophy, and of philosophy of science around replicability—that this special issue has been conceived. (shrink)

What would the Merleau-Ponty of Phenomenology of Perception have thought of the use of his phenomenology in the cognitive sciences? This question raises the issue of Merleau-Ponty’s conception of the relationship between the sciences and philosophy, and of what he took the philosophical significance of his phenomenology to be. In this article I suggest an answer to this question through a discussion of certain claims made in connection to the “post-cognitivist” approach to cognitive science by Hubert (...) Dreyfus, Shaun Gallagher and Francisco Varela, Evan Thompson and Eleanor Rosch. I suggest that these claims are indicative of an appropriation of Merleau-Ponty’s thought that he would have welcomed as innovative science. Despite this, I argue that he would have viewed this use of his work as potentially occluding the full philosophical significance that he believed his phenomenological investigations to contain. (shrink)

In Book I, Part I, Section VII of the Treatise, Hume sets out to settle, once and for all, the early modern controversy over abstract ideas. In order to do so, he tries to accomplish two tasks: (1) he attempts to defend an exemplar-based theory of general language and thought, and (2) he sets out to refute the rival abstraction-based account. This paper examines the successes and failures of these two projects. I argue that Hume manages to articulate a plausible (...) theory of general ideas; indeed, a version of his account has defenders in contemporary cognitive science. But Hume fails to refute the abstraction-based account, and as a result, the early modern controversy ends in a stalemate, with both sides able to explain how we manage to speak and think in general terms. Although Hume fails to settle the controversy, he nevertheless advances it to a point from which we have yet to progress: the contemporary debate over abstract ideas in cognitive science has stalled on precisely this point. (shrink)

What is cognition? Equivalently, what is cognition good for? Or, what is it that would not be but for human cognition? But for human cognition, there would not be science. Based on this kinship between individual cognition and collective science, here we put forward Isbell conjugacy---the adjointness between objective geometry and subjective algebra---as a scientific method for developing cognitive science. We begin with the correspondence between categorical perception and category theory. Next, we show how the Gestalt maxim is subsumed (...) by the mathematical construct of colimit, a generalization of summation. The universal mapping property definitions of mathematical constructs, by virtue of being the best with respect to the universe of discourse, can be learned using reinforcement learning algorithms, which raises the possibility of abstracting the architecture of mathematics by artificial intelligence. Subsequently, we present naturality (to be contrasted with miracles), understood as 'Becoming consistent with Being', which governs the transformations of both things and their theories, as the zeroth law of change. Furthermore, the contrast---physical [mechanism] vs. biological [organism]---is smoothed via natural transformation, wherein transformations are respectful of the cohesion of the objects transformed. In closing, upon recognizing the scientific value of learning difficult-to-master differential calculus by physicists, of learning a strange four-letter language by biologists, and of learning the grammar of our respective mother tongues, we make a case for learning the theory of naturality / category theory for developing cognitive science. (shrink)

Given the fundamental role that concepts play in theories of cognition, philosophers and cognitive scientists have a common interest in concepts. Nonetheless, there is a great deal of controversy regarding what kinds of things concepts are, how they are structured, and how they are acquired. This chapter offers a detailed high-level overview and critical evaluation of the main theories of concepts and their motivations. Taking into account the various challenges that each theory faces, the chapter also presents a novel (...) approach to concepts that is organized around two ideas. The first is a pluralistic view of differing types of conceptual structure. The second is a model that treats concepts as atomic representations that are linked to various types of conceptual structures. (shrink)

Religious belief and behavior raises the following two questions: (Q1) Does God, or any other being or state that is integral to various religious traditions, exist? (Q2) Why do humans have religious beliefs and engage in religious behavior? How one answers (Q2) can affect how reasonable individuals can be in accepting a particular answer to (Q1). My aim in this chapter is to carefully distinguish the various ways in which an answer to Q2 might affect the rationality of believing in (...) God. A literature has sprouted around this exact issue, but it has heretofore focused almost exclusively on one way in which a genealogy for p can affect the rationality of believing p – namely, by the genealogy functioning within a debunking argument. However, there are other ways a genealogy can affect the rationality of a belief. I suggest that we should be interested in whether genealogies more broadly cast doubt on religious beliefs. My main goal is: (i) to argue that CSR does not cast doubt on theistic belief in a few of the primary ways that propositions can cast doubt on other propositions, including via a debunking argument; and (ii) to suggest that one plausible way in which CSR might cast doubt on theistic belief is by undermining various traditional theistic reasons, and to illustrate how this might work with one example of a traditional theistic reason – religious experience. (shrink)

Mental representations remain the central posits of psychology after many decades of scrutiny. However, there is no consensus about the representational format(s) of biological cognition. This paper provides a survey of evidence from computational cognitive psychology, perceptual psychology, developmental psychology, comparative psychology, and social psychology, and concludes that one type of format that routinely crops up is the language-of-thought (LoT). We outline six core properties of LoTs: (i) discrete constituents; (ii) role-filler independence; (iii) predicate–argument structure; (iv) logical operators; (v) (...) inferential promiscuity; and (vi) abstract content. These properties cluster together throughout cognitive science. Bayesian computational modeling, compositional features of object perception, complex infant and animal reasoning, and automatic, intuitive cognition in adults all implicate LoT-like structures. Instead of regarding LoT as a relic of the previous century, researchers in cognitive science and philosophy-of-mind must take seriously the explanatory breadth of LoT-based architectures. We grant that the mind may harbor many formats and architectures, including iconic and associative structures as well as deep-neural-network-like architectures. However, as computational/representational approaches to the mind continue to advance, classical compositional symbolic structures – that is, LoTs – only prove more flexible and well-supported over time. (shrink)

This paper considers the question of whether the influential distinction between levels of explanation introduced by David Marr can be used as a general framework for contemplating levels of explanation in cognitive sciences. Marr introduced three levels at which we can explain cognitive processes: the computational, algorithmic, and implementational levels. Some argue that Marr’s levels of explanation can only be applied to modular cognitive systems. However, since many psychological processes are non-modular, it seems that Marr’s levels (...) of explanation cannot explain such psychological processes. To show that the latter claim is not convincing, the paper draws upon an influential paradigm from cognitive sciences that is based on the principle of free energy. Based on this paradigm, the paper argues that even non-modular psychological processes can be computationally analyzed and algorithmically implemented. The conclusion of the paper is that, at least under the assumption that the func- tion of the mind is to minimize free energy, Marr’s levels of explanation can be successfully used as a general framework for understanding psychological processes at different levels of description. (shrink)

Online collection of papers by Devitt, Dretske, Guarino, Hochberg, Jackson, Petitot, Searle, Tye, Varzi and other leading thinkers on philosophy and the foundations of cognitive Science. Topics dealt with include: Wittgenstein and Cognitive Science, Content and Object, Logic and Foundations, Language and Linguistics, and Ontology and Mereology.