Although Wittgenstein’s influence on logic and foundations of mathematics is well recognized, nonetheless, his legacy concerning other sciences is much less elucidated, and in this article we aim at shedding new light on physics, artificial intelligence, and cognitive science from a Wittgensteinian perspective. We focus upon three issues amongst other things: the Chosmky versus Norvig debate on the nature of language; a Neo-Kantian parallelism between Bohr’s philosophy of physics and Hilbert’s philosophy of mathematics; the relationships between cognitive (...) contextuality and physical contextuality as shown by recent Bell-type results. The Chosmky versus Norvig debate may be seen as a battle between Wittgenstein’s earlier and later conceptions of meaning, i.e., picture theory and use theory. From a Wittgensteinian point of view, quantum physics may be seen as a physical version of the Linguistic Turn. The parallelism between Bohr’s philosophy of classical concepts and Hilbert’s philosophy of finitism builds upon transcendental philosophy in the Kantian tradition, both Bohr and Hilbert having been influenced by Neo-Kantian thinkers, such as Hertz, whose sign theory is actually a common root of Wittgenstein’s picture theory and Hilbert’s axiomatics. Wittgenstein is considered a root of contextualism in contemporary philosophy. Contextuality has different manifestations in physics and cognitive science, and contextuality studies across the sciences are rapidly developing in cutting-edge research. We elucidate both analogies and disanalogies between contextuality of reality and contextuality of reason in terms of the nature of probabilities involved. In passing, we also give a reformulation of Penrose’s quantum mind thesis. (shrink)

The Phenomenological Mind is the first book to properly introduce fundamental questions about the mind from the perspective of phenomenology. Key questions and topics covered include: What is phenomenology? naturalizing phenomenology and the empirical cognitive sciences phenomenology and consciousness consciousness and self-consciousness, including perception and action time and consciousness, including William James intentionality the embodied mind action knowledge of other minds situated and extended minds phenomenology and personal identity Interesting and important examples are used throughout, including phantom limb syndrome, (...) blindsight and self-disorders in schizophrenia, making The Phenomenological Mind an ideal introduction to key concepts in phenomenology, cognitive science and philosophy of mind. (shrink)

Different researchers from psychology and neuroscience state that navigation involves the manipulation of cognitive maps and graphs. In this paper, I will argue that navigating – specifically, journey planning – can be conceived as a process of practical reasoning. First, I will argue that journey planning constitutes a case of means-end reasoning involving inferences with cartographic representations. Then, I will argue that the output of journey planning functions as an instrumental belief in means-end reasoning. More specifically, journey planning can (...) deliver an instrumental rule that plays a normative role in spatial cognition. This approach motivates a pluralist conception of practical reasoning, stating that inferences might run through different representational formats and processes. (shrink)

PREFACE PART I METAPHYSICS Review of John McDowell’s Mind and World Special Sciences: Still Autonomous after All These Years Conclusion Acknowledgment Notes PART II CONCEPTS Review of Christopher Peacocke’s A Study of Concepts Notes There Are No Recognitional Concepts--Not Even RED Introduction Compositionality Why Premise P is Plausible Objections Conclusion Afterword Acknowledgment Notes There Are No Recognitional Concepts--Not Even RED, Part 2: The Plot Thickens Introduction: The Story ’til Now Compositonality and Learnability Notes Do We Think in Mentalese? Remarks on (...) Some Arguments of Peter Carruthers Appendix: Higher-Order Thoughts Notes Review of A. W. Moore’s Points of View PART III COGNITIVE ARCHITECTURE Review of Paul Churchland’s The Engine of Reason, The Seat of the Soul Connectionism and the Problem of Systematicity: Why Smolensky’s Solution Doesn’t Work Introduction I The Systematicity Problem and Its Classical Solution II Weak Compositionality III Strong Compositional Structure Conclusion Notes Connectionism and the Problem of Systematicity : Why Smolensky’s Solution Still Doesn’t Work Stage 1: Classical Theories The Connection with The Connection with Stage 2: Smolenksy Architectures Stage 3: Why Smolensky’s Solution Still Doesn’t Work Digression on singing and sailing Acknowledgment Notes There and Back Again: A Review of Annette Karmiloff-Smith’s Beyond Modularity 1. Encapsulation 2. Inaccessibility 3. Domain specificity 4. Innateness Conclusion Notes Review of Jeff Elman et al., Rethinking Innateness Brainlikeness Interactions Representational Nativism Empiricism Review of Steven Mithen’s The Prehistory of the Mind PART IV PHILOSOPHICAL DARWINISM Review of Richard Dawkins’s Climbing Mount Improbable Deconstructing Dennett’s Darwin Introduction Adaptation Adaptation and Teleology Deconstruction Notes Is Science Biologically Possible? Comments on Some Arguments of Patricia Churchland and of Alvin Plantinga Acknowledgment Notes Review of Steven Pinker’s How the Mind Works and Henry Plotkin’s Evolution in Mind Computation Massive modularity Innateness Psychological Darwinism. (shrink)

The essays in this volume are concerned with our everyday and developed scientific systems of explanation of human behavior in terms of beliefs, attitudes,...

Vādanyāya is one of the representative works of Dharmakīrti. It is concerned with debate logic and deals with win-or-lose reasoning rules in the broad sense of logic. In this paper, we will concentrate our discussion on Dharmakīrti’s theory of nigrahasthāna (fault) in his debate logic, a key issue in Vādanyāya. First, we point out that the justification of three logical reasons as proof conditions of debate constitutes the rational point of departure for Dharmakīrti’s debate logic. Second, we analyze the differences (...) between Dharmakīrti’s and the Naiyāyika’s notion of debate and point out that Dharmakīrti’s ‘debate’ involves two parties (the disputant and the opponent) attempting to rationally refute the other’s opinion to persuade the other to change their wrong ideas. Last, based on the discussion of Dharmakīrti’s concept of debate logic, we identify seven types of nigrahasthāna in Vādanyāya with regard to the two parties of a debate (the disputant and the opponent). (shrink)

This is the first book to explore the cognitive science of effortless attention and action. Attention and action are generally understood to require effort, and the expectation is that under normal circumstances effort increases to meet rising demand. Sometimes, however, attention and action seem to flow effortlessly despite high demand. Effortless attention and action have been documented across a range of normal activities--from rock climbing to chess playing--and yet fundamental questions about the cognitive science of effortlessness (...) have gone largely unasked. -/- This book draws from the disciplines of cognitive psychology, neurophysiology, behavioral psychology, genetics, philosophy, and cross-cultural studies. Starting from the premise that the phenomena of effortless attention and action provide an opportunity to test current models of attention and action, leading researchers from around the world examine topics including effort as a cognitive resource, the role of effort in decision making, the neurophysiology of effortless attention and action, the role of automaticity in effortless action, expert performance in effortless action, and the neurophysiology and benefits of attentional training. -/- Contributors: Joshua M. Ackerman, James H. Austin, John A. Bargh, Roy F. Baumeister, Sian L. Beilock, Chris Blais, Matthew M. Botvinick, Brian Bruya, Mihaly Csikszentmihalyi, Marci S. DeCaro, Arne Dietrich, Yuri Dormashev, László Harmat, Bernhard Hommel, Rebecca Lewthwaite, Örjan de Manzano, Joseph T. McGuire, Brian P. Meier, Arlen C. Moller, Jeanne Nakamura, Evgeny N. Osin, Michael I. Posner, Mary K. Rothbart, M. R. Rueda, Brandon J. Schmeichel, Edward Slingerland, Oliver Stoll, Yiyuan Tang, Töres Theorell, Fredrik Ullén, Robert D. Wall, Gabriele Wulf. (shrink)

Philosophy of science is positioned to make distinctive contributions to cognitive science by providing perspective on its conceptual foundations and by advancing normative recommendations. The philosophy of science I embrace is naturalistic in that it is grounded in the study of actual science. Focusing on explanation, I describe the recent development of a mechanistic philosophy of science from which I draw three normative consequences for cognitive science. First, insofar as cognitive mechanisms (...) are information‐processing mechanisms, cognitive science needs an account of how the representations invoked in cognitive mechanisms carry information about contents, and I suggest that control theory offers the needed perspective on the relation of representations to contents. Second, I argue that cognitive science requires, but is still in search of, a catalog of cognitive operations that researchers can draw upon in explaining cognitive mechanisms. Last, I provide a new perspective on the relation of cognitive science to brain sciences, one which embraces both reductive research on neural components that figure in cognitive mechanisms and a concern with recomposing higher‐level mechanisms from their components and situating them in their environments. (shrink)

Following the levels of intentionality and semiosis distinguished by the Semiotic Hierarchy, and the distinction between original agency and enhanced agency, we propose a model of an agency hierarchy, consisting of six layers. Consistent with the phenomenological orientation of cognitive semiotics, a central claim is that agency and subjectivity are complementary aspects of intentionality. Hence, there is no agency without at least the minimal sense/feeling of agency. This perspective rules out all artefacts as genuine agents, as well as simple (...) organisms, since it is highly unlikely that e.g. bacteria have any first-person perspective. Using this model, we review and assess recent proposals on the nature of agency from cognitive science, and neuroscience, and draw conclusions on how to incorporate aspects of them within a synthetic cognitive-semiotic framework. (shrink)

Núñez et al. (2019) argue that cognitive science has failed either “to transition to a mature inter‐disciplinary coherent field” (p. 782) or “to generate a successful [Lakatosian] research program” (p. 789). We argue that the former was never the intention of many early researchers within the field, while the latter is an inappropriate criterion by which to judge an entire discipline. However, we concur with Núñez et al. (2019) that the individual disciplinary balance within cognitive science (...) has changed over time. Of particular concern is the fact that the use of computational methods appears to be on the wane. (shrink)

Philosophers of mind commonly draw a distinction between the personal level – the distinctive realm of conscious experience and reasoned deliberation – and the subpersonal level, the domain of mindless mechanism and brute cause and effect. Moreover, they tend to view cognitive science through the lens of this distinction. Facts about the personal level are given a priori, by introspection, or by common sense; the job of cognitive science is merely to investigate the mechanistic basis of (...) these facts. I argue that this view misrepresents the structure of cognitive-scientific enquiry. Taken at face value, cognitive science makes no commitment to the existence of a distinctive level at which persons or selves appear. Thus, in the age of cognitive science, we should not expect to find the self in an ontologically distinct realm. Instead, we should expect to locate it in cognitive-scientific models themselves. In closing, I indicate likely results of this approach. (shrink)

Going beyond the hype of recent fMRI "findings," this interdisciplinary collection examines such questions as: Do women and men have significantly different brains? Do women empathize, while men systematize? Is there a "feminine" ethics? What does brain research on intersex conditions tell us about sex and gender?

Representational and embodied approaches to cognitive science are often presented in opposition to one another, with Merleau-Ponty serving as a historical precursor to embodied approaches. We argue that the two approaches are compatible and complementary, and that both can be used to interpret Merleau-Ponty's (and Husserl's) work. To support our arguments, we describe two forms of representation associated with two distinct processes. Motor intentionality is a process of direct embodied interaction (reflexes, habits, skilled behaviors) which use mediating representations (...) to bind sensory information together and guide behavior. These internal states reliably indicate specific stimuli (even if just during a transient episode), are associated with a determinate phenomenal character (a “typical physiognomy”), and correspond to what Husserl describes as passive synthesis. Higher-level processes like reasoning make use of more explicit representations (what Husserl calls active processes), which are associated with focused attention and “explicated” propositional contents. The two kinds of process can occur independently, but are often fully woven together, as for example when a friend makes explicit suggestions while the two of you cook. We also discuss Merleau-Ponty’s famous Schneider case, which makes vivid what happens when both types of processes (motor intentionality and high-level reasoning; passive and active synthesis) are intact, but when some explicit representations are damaged. A certain stratum of virtual or projected space is lost, and so a certain kind of abstractly guided behavior is unavailable to him. (shrink)

We show that the so-called Multiple-Computations Theorem in cognitive science and philosophy of mind challenges Landauer’s Principle in physics. Since the orthodox wisdom in statistical physics is that Landauer’s Principle is implied by, or is the mechanical equivalent of, the Second Law of thermodynamics, our argument shows that the Multiple-Computations Theorem challenges the universal validity of the Second Law of thermodynamics itself. We construct two examples of computations carried out by one and the same dynamical process with respect (...) to which Landauer’s principle implies contradictory predictions concerning the entropy increase. Our two examples are based on a weak version of the Multiple-Computations Theorem, which is quite uncontroversial, and therefore they amount to a clear refutation of the universal validity of Landauer’s Principle. We consider some responses to this argument that do not attempt to single out one computation over the others, and we show that they do not work. We further consider ways out of the argument by externalist approaches supporting the computational theory of the mind who propose that the interaction of a computing system with the environment is enough to select a single computation over the others. We show on physical grounds that this approach fails too. We then reverse the direction of our challenge and formulate a dilemma for supporters of the computational theory of the mind: they must reject the causal closure of physic; or else they must accept on a priori grounds that Landauer’s Principle and the Second Law of thermodynamics are not universally valid. Finally, we present our version of a type–type mind-brain identity theory called Flat Physicalism, which is based on the paradigm case of statistical mechanics, and we show that it circumvents the challenge from Landauer’s Principle and the Multiple-Computations Theorem and does not fall prey to our dilemma. (shrink)

This article presents a sobering view of the discipline of cognitive neuropsychology as practiced over the last three or four decades. Our judgment is that, although the study of abnormal cognition resulting from brain injury or disease in previously normal adults has produced a catalogue of fascinating and highly selective deficits, it has yielded relatively little advance in understanding how the brain accomplishes its cognitive business. We question the wisdom of the following three “choices” in mainstream cognitive (...) neuropsychology: (a) single‐case methodology, (b) dissociation between functions as the most important source of evidence, and (c) a central goal of diagramming the functional architecture of cognition rather than specifying how its components work. These choices may all stem from an excessive commitment to strict and fine‐grained modularity. Although different brain regions are undoubtedly specialized for different functions, we argue that parallel and interactive processing is a better assumption about cognitive processing. The essential goal of specifying representations and processes can, we claim, be significantly assisted by computational modeling which, by its very nature, requires such specification. (shrink)

We introduce a new metric for interdisciplinarity, based on co-author publication history. A published article that has co-authors with quite different publication histories can be deemed relatively “interdisciplinary,” in that the article reflects a convergence of previous research in distinct sets of publication outlets. In recent work, we have shown that this interdisciplinarity metric can predict citations. Here, we show that the journal Cognitive Science tends to contain collaborations that are relatively high on this interdisciplinarity metric, at about (...) the 80th percentile of all journals across both social and natural sciences. Following on Goldstone and Leydesdorff, we describe how scientometric tools provide a valuable means of assessing the role of cognitive science in broader scientific work, and also as a tool to investigate teamwork and distributed cognition. We describe how data-driven metrics of this kind may facilitate this exploration without relying upon rapidly changing discipline and topic keywords associated with publications. (shrink)

This book is meant as a part of the larger contemporary philosophical project of naturalizing logico-mathematical knowledge, and addresses the key question that motivates most of the work in this field: What is philosophically relevant about the nature of logico-mathematical knowledge in recent research in psychology and cognitive science? The question about this distinctive kind of knowledge is rooted in Plato’s dialogues, and virtually all major philosophers have expressed interest in it. The essays in this collection tackle this (...) important philosophical query from the perspective of the modern sciences of cognition, namely cognitive psychology and neuroscience. _Naturalizing Logico-Mathematical Knowledge _contributes to consolidating a new, emerging direction in the philosophy of mathematics, which, while keeping the traditional concerns of this sub-discipline in sight, aims to engage with them in a scientifically-informed manner. A subsequent aim is to signal the philosophers’ willingness to enter into a fruitful dialogue with the community of cognitive scientists and psychologists by examining their methods and interpretive strategies. (shrink)

Why games? How could anyone consider action games an experimental paradigm for Cognitive Science? In 1973, as one of three strategies he proposed for advancing Cognitive Science, Allen Newell exhorted us to “accept a single complex task and do all of it.” More specifically, he told us that rather than taking an “experimental psychology as usual approach,” we should “focus on a series of experimental and theoretical studies around a single complex task” so as to demonstrate (...) that our theories of human cognition were powerful enough to explain “a genuine slab of human behavior” with the studies fitting into a detailed theoretical picture. Action games represent the type of experimental paradigm that Newell was advocating and the current state of programming expertise and laboratory equipment, along with the emergence of Big Data and naturally occurring datasets, provide the technologies and data needed to realize his vision. Action games enable us to escape from our field's regrettable focus on novice performance to develop theories that account for the full range of expertise through a twin focus on expertise sampling and longitudinal studies of simple and complex tasks. (shrink)

The representation of color by pictures raises worthwhile questions for philosophers and psychologists. Moreover, philosophers and psychologists interested in answering these questions will benefit by paying attention to each other's work. Failure to recognize the potential for interdisciplinary cooperation can be attributed to tacit acceptance of the resemblance theory of pictorial color. I argue that this theory is inadequate, so philosophers of art have work to do devising an alternative. At the same time, if the resemblance theory is false, then (...) color depiction has interesting implications for color science. Empirical researchers must rethink the widespread assumption that color recognition requires color constancy. I suggest that a neuropsychological account of color recognition will be instrumental to completing the philosophical task, but by the same token scientists might do well not to proceed without casting an eye to the work of philosophers of art. (shrink)

According to Enactivism, cognition should be understood in terms of a dynamic interaction between an acting organism and its environment. Further, this view holds that organisms do not passively receive information from this environment, they rather selectively create this environment by engaging in interaction with the world. Radical Enactivism adds that basic cognition does so without entertaining representations and hence that representations are not an essential constituent of cognition. Some proponents think that getting rid of representations amounts to a revolutionary (...) alternative to standard views about cognition. To emphasize the impact, they claim that this ‘radicalization’ should be applied to all enactivist friendly views, including, another current and potentially revolutionary approach to cognition: predictive processing. In this paper, we will show that this is not the case. After introducing the problem, we will argue that ‘radicalizing’ predictive processing does not add any value to this approach. After this, we will analyze whether or not radical Enactivism can count as a revolution within cognitive science at all and conclude that it cannot. Finally, in section 5 we will claim that cognitive science is better off when embracing heterogeneity. (shrink)

The essays in this anthology deal with the growing interconnections developmental psychology and evolutionary biology. This cross-disciplinary interchange coincides, not accidentally, with the renewed interest in ethical naturalism.

The bias–variance tradeoff is a theoretical concept that suggests machine learning algorithms are susceptible to two kinds of error, with some algorithms tending to suffer from one more than the other. In this letter, we claim that the bias–variance tradeoff is a general concept that can be applied to human cognition as well, and we discuss implications for research in cognitive science. In particular, we show how various strands of research in cognitive science can be interpreted (...) in light of the bias–variance tradeoff, giving insight into individual differences in learning, the nature of cognitive processes, and debates in cognitive science research. (shrink)

Cultural disparity—the variation across cultural traits such as knowledge, skill, and belief—is a complex phenomenon, studied by a number of researchers with an expanding empirical toolkit. While there is a growing consensus as to the processes that generate cultural variation and change, general explanatory frameworks require additional tools for identifying, organising, and relating the complex causes that underpin the production of cultural disparity. Here I develop a case study in the cognitive science of religion, and demonstrate how concepts (...) and distinctions drawn from work on contrastive explanation and manipulationist accounts of causation provide such tools for distinguishing explanatory levels, organising causal narratives, and accounting for cross-cultural patterns. (shrink)

This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first attempting to dissect the different notions of “dynamics” and “cognition” at play, a more specific theoretical framework for cognitive science (...) broadly construed is sketched. This framework draws upon not only dynamical ideas, but also such contemporaneous perspectives as situatedness, embodiment, ecological psychology, enaction, neuroethology/neuroscience, artificial life, and biogenic approaches. The paper ends with some methodological suggestions for pursuing this theoretical framework. (shrink)

Attempts to apply the mathematical tools of dynamical systems theory to cognition in a systematic way has been well under way since the early 90s and has been recognised as a “third contender” to computationalist and connectionist approaches :441–463, 1996). Nevertheless, it was also realised that such an application will not lead to a solid paradigm as straightforwardly as was initially hoped. In this paper I explicate a method for assessing such proposals by drawing upon Lakatos’s Criticism and the growth (...) of knowledge, Cambridge University Press, London, pp 91–195, 1970) methodology of scientific research programs. MSRP focuses on the heuristics of a particular field and gauges the model/theory building stratagems by reference to theoretical and empirical progress, on the one hand, and the continuity and the autonomy of the way the field’s heuristic generates its series of models/theories, on the other. The requirement of continuity and autonomy afford distinct senses of ad hoc-ness, which serve as an effective tool to detect various subtleties which may otherwise be missed: the present approach identifies shortcomings missed by Chemero’s radical embodied cognitive science and falsifies Chemero’s claim that the methodological powers of his model-based account is on a par with computationalism. In general, I claim that MSRP is relevant to current methodological issues in cognitive science and can supplement debates regarding “local” assessments of methodologies, such as that between mechanical versus covering-law explanations. MSRP must at least be viewed as a necessary constraint for any methodological considerations in cognitive science. (shrink)

Nowadays, it has become almost a matter of course to say that the human mind is like a computer. Folks in all walks of life talk of ‘programming’ themselves, ‘multitasking’, running different ‘operating systems’, and sometimes of ‘crashing’ and being ‘rebooted’. Few who have used computers have not been touched by the appeal of the..

Within contemporary science, it is common practice to compare data points to the average, i.e., to the statistical mean. Because this practice is so familiar, it might at first appear not to be the sort of thing that requires explanation. But recent research in cognitive science and in the history of science gives us reason to adopt the opposite perspective. Cognitive science research on the ways people ordinarily make sense of the world suggests that, (...) instead of using a purely statistical notion of the average, people tend to use a value-laden notion of the normal. Similarly, historical research on the scientific practices used in other time periods indicates that, prior to the nineteenth century, scientists tended to make use of a notion of the normal that was overtly value-laden. These findings give us reason to rethink certain familiar facts about scientific practice. In particular, they suggest that the fact that scientists so often make use of the statistical average should be seen as a highly surprising fact, the sort of thing that calls out for explanation. (shrink)

This chapter develops a style of argument that realists can use to defend the methodological propriety of appealing to a given range of intuitions. Unbunking arguments are an epistemically positive analogue of debunking arguments, and they revolve around the claim that the processes dominantly responsible for beliefs about a given domain are reliable. However, processes cannot always be assessed for accuracy with respect to the relevant domain, so this chapter also develops the cross-domain strategy, which involves arguing that processes known (...) to be reliable in one domain are similarly reliable with respect to a different domain. The chapter ends by unbunking our metaphysical intuitions about mutual supervenience by way of a cross-domain strategy that draws on cognitive scientific research into our ability to track correlations. (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)

An introductory text on cognitive science from an interdisciplinary perspective. Containing chapters on philosophy, psychology, cognition, neuroscience, the network and evolutionary approaches. Covers theories and models of mind looking at all major information processing categories: perception, attention, language, emotions, social, and artificial intelligence.

The cognitive science of religion (CSR) was born from dissatisfaction with traditional interpretative accounts of religious symbolism and with the doctrine of the primacy of texts. The theories, methods, and findings of the cognitive sciences provide means for escaping the interpretative circling the former entails and for addressing the myriad nontextual religious phenomena for which the latter is ill‐suited. Whatever else each affirms, all of the pioneering theorists in CSR agree that religions involve cultural arrangements that engage (...) ordinary cognitive systems, which are in place on the basis of considerations having nothing to do with religion or with one another, and are exercised in religious contexts as a byproduct of their normal functioning. Religions engage evolved, domain‐specific cognitive systems for handling problems fundamental to human survival that operate readily, unreflectively, and mostly below the level of consciousness. This information‐processing includes automatically and effortlessly pursuing any of a vast complement of default inferences appropriate to materials from the many domains in question. Such unconscious inferences about intuitive ontology figure centrally in religious representations, which typically involve but a single violation of the concomitant assumptions, rendering those representations minimally counterintuitive (MCI). MCI representations approximate a cognitive optimum, since they are attention‐grabbing, memorable, and inferentially rich. Subsequent theorists have variously argued on the basis of either natural or cultural selection at either the genetic, individual, or group level that some aspects of religious cognition are adaptive, if not outright adaptations. Their principal candidates for adaptive cognitive dispositions and cultural arrangements are ones that enable cooperation in large groups. Cultural group selectionists maintain that, in addition to the content biases that the byproduct view stresses, religions also exploit context biases resulting in characteristic features of honest signals and credibility‐enhancing displays (CREDs), which, in turn, foster cooperation and commitment to (only some) superhuman agents. Big Gods appear to be especially well suited to enhancing cooperation in big groups. CSR has inspired considerable noteworthy experimental research, which, over the past 15 years, has increasingly reflected the three principal influences in cognitive science generally during that time, viz., evolutionary considerations, an interest in experience, and the new brain‐imaging technologies. (shrink)

This chapter evaluates which approach within 4E cognition is in a better position to offer a research program and a scientific framework for the embodied and situated cognitive sciences that could outcompete cognitivism once and for all. The main thesis of this work is that ecological psychology is in a better position to develop that scientific framework. This is because enactivism can be defined as a philosophy of nature rather than a scientific framework with its own research program (following (...) Gallagher, 2017). This means that enaction did not develop its own scientific methods, models, and metrics for human in vivo experimentation, which are key aspects in order to offer a whole new scientifically feasible foundation of a new science of the mind from a purely embodied and situated perspective. Although I agree that a philosophy of nature is a necessary aspect for any general theory of cognition, it is not enough: we also need a research program and a scientific framework in order to establish a fully-fledged science of the mind. Ecological psychology, as I show in this work, includes a philosophy of nature and a research program, which makes it suitable to settle the foundations for a fully embodied and situated cognitive science. In conclusion, I think that everyone working on embodiment and situated cognition should follow the ecological lead. (shrink)

Cognitive scientists use computational models to represent the results of their experimental work and to guide further research. Neither of these claims is particularly controversial, but the philosophical and evidentiary statuses of these models are hotly debated. To clarify the issues, I return to Newell and Simon’s 1972 exposition on the computational approach; they herald its ability to describe mental operations despite that the neuroscience of the time could not. Using work on visual imagery (cf. imagination) as a guide, (...) I examine the extent to which this holds true today. Does contemporary neuroscience contain mechanisms capable of describing experimental results in imagery? I argue that it does not, first by exploring foundational achievements in imagery research then by showing that their neural basis cannot be specified. Newell and Simon’s methodological position accordingly stands, even 50 years later. Computational — as opposed to physiological — descriptions must be retained to characterize and study mental phenomena, even as we learn high-level details of their implementation via brain data. (shrink)