The Cognitive Classroom describes how cutting-edge and classic research findings from the fields of brain science and cognitive psychology may be applied to classroom teaching. Using the perspective and expertise of an educational researcher originally trained as a neuroscientist, research findings and theories are translated into practical strategies.

The contributions to this collection, written in honor of Jacques Mehler, a founder of the field of psycholinguistics, assess the progress of cognitive science.

In Adapted Brains and Imaginary Worlds, Donald Beecher explores the characteristics and idiosyncrasies of the brain as they affect the study of fiction. He builds upon insights from the cognitive sciences to explain how we actualize imaginary persons, read the clues to their intentional states, assess their representations of selfhood, and empathize with their felt experiences in imaginary environments. He considers how our own faculty of memory, in all its selective particularity and planned oblivion, becomes an increasingly significant (...) dimension of the critical act, and how our own emotions become aggressive readers of literary experience, culminating in states which define the genres of literature. Beecher illustrates his points with examples from major works of the Renaissance period, including Dr Faustus, The Faerie Queene, Measure for Measure, The Yorkshire Tragedy, Menaphon, The Dialogue of Solomon and Marcolphus, and The Moral Philosophy of Doni. In this volume, studies in the science of mind come into their own in explaining the architectures of the brain that shape such emergent properties as empathy, suspense, curiosity, the formation of communities, gossip, rationalization, confabulation, and so much more that pertains to the behaviour of characters, the orientation of readers, and the construction of meaning. Discussing a breadth of topics – from the mysteries of the criminal mind to the psychology of tears – Adapted Brains and Imaginary Worlds is the most comprehensive work available on the study of fictional worlds and their relation to the constitution of the human brain. (shrink)

A scholarly examination of the centrality of the mind-body problem within and across the science of cognition--from philosophy to psychology to artificial intelligence to neural science. Conceptions of the mind-body problem range from the heritage of Cartesianism to the identification of the circumscribed brain structures responsible for domain specific cognitive mechanisms. Neither narrowly technical nor philosophically vague, this is a structured and detailed account of advancing intellectual developments in theory, research, and knowledge illumined by the conceptual (...) vicissitudes of the mind-body problem. This unique treatment will be of special interest to creative scholars in the disciplines of he sciences of cognition. (shrink)

'Representation' is a concept which occurs both in cognitive science and philosophy. It has common features in both settings in that it concerns the explanation of behaviour in terms of the way the subject categorizes and systematizes responses to its environment. The prevailing model sees representations as causally structured entities correlated on the one hand with elements in a natural language and on the other with clearly identifiable items in the world. This leads to an analysis of representation (...) and cognition in terms of formal symbols and their relations. But human perception and cognition use multiple informational constraints and deal with unsystematic and messy input in a way best explained by Parallel Distributed Processing models. This undermines the claim that a formal representational theory of mind is 'the only game in town.' In particular it suggests a radically different model of brain function and its relation to epistemology from that found in current representational theories. (shrink)

The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, (...) but one way to talk precisely and transparently about the kinds of mechanisms and representations underlying the acquisition of psychological traits without a commitment to an innate language of thought. (shrink)

The model of memory as a store, from which records can be retrieved, is taken for granted by many contemporary researchers. On this view, memories are stored by memory traces, which represent the original event and provide a causal link between that episode and one's ability to remember it. I argue that this seemingly plausible model leads to an unacceptable conception of the relationship between mind and brain, and that a non‐representational, connectionist, model offers a promising alternative. I also (...) offer a new reading of Wittgenstein's paradoxical remarks about thought and brain processes: as a critique of the cognitivist thesis that information stored in the brain has a linguistic structure and a particular location. On this reading, Wittgenstein's criticism foreshadows some of the most promising contemporary work on connectionist models of neural functioning. (shrink)

Cognitive Science is a major new guide to the central theories and problems in the study of the mind and brain. The authors clearly explain how and why cognitive science aims to understand the brain as a computational system that manipulates representations. They identify the roots of cognitive science in Descartes - who argued that all knowledge of the external world is filtered through some sort of representation - and examine the present-day (...) role of Artificial Intelligence, computing, psychology, linguistics and neuroscience. Throughout, the key building blocks of cognitive science are clearly illustrated: perception, memory, attention, emotion, language, control of movement, learning, understanding and other important mental phenomena. Cognitive Science: presents a clear, collaborative introduction to the subject is the first textbook to bring together all the different strands of this new science in a unified approach includes illustrations and exercises to aid the student. (shrink)

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)

In recent decades, a new scientific approach to understand, explain, and predict many features of religion has emerged. The cognitive science of religion has amassed research on the forces that shape the tendency for humans to be religious and on what forms belief takes. It suggests that religion, like language or music, naturally emerges in humans with tractable similarities. This new approach has profound implications for how we understand religion, including why it appears so easily, and why people (...) are willing to fight-and die for it. Yet it is not without its critics, and some fear that scholars are explaining the ineffable mystery of religion away, or by showing that religion is natural proves or disproves the existence of God. An Introduction to the Cognitive Science of Religion offers students and general readers an accessible introduction to the approach, providing an overview of key findings and the debates that shape it. The volume includes a glossary of key terms, and each chapter includes suggestions for further thought and further reading as well as chapter summaries highlighting key points. This book is an indispensable resource for introductory courses on religion and a much-needed option for advanced courses. (shrink)

Cognitive science has wholeheartedly embraced functional brain imaging, but introspective data are still eschewed to the extent that it runs against standard practice to engage in the systematic collection of introspective reports. However, in the case of executive processes associated with prefrontal cortex, imaging has made limited progress, whereas introspective methods have considerable unfulfilled potential. We argue for a re-evaluation of the standard ‘cognitive mapping’ paradigm, emphasizing the use of retrospective reports alongside behavioural and brain (...) imaging techniques. Using all three sources of evidence can compensate for their individual limitations, and so triangulate on higher cognitive processes. (shrink)

The introduction of digital games and simulations into science museums has prompted excitement about a new "post-museum" pedagogy emphasizing egalitarianism, interactivity, and personalized approaches to learning. However, many post-museums of science, this article aims to show, enact rhetorical performances that lead visitors to narrowly targeted answers and hide the authority of the expert in a play of tactile and affective activities, thus operating in opposition to many of the basic ideals of the post-museum. The Brain and Cognition (...) Exhibit at the Hong Kong Science Museum serves as a case study for how a post-museum exhibit, through embracing interactivity and visitor-centered tasks, becomes a site where science is tested on and performed through visitors' bodies such that institutional prescriptions are applied. Visitors are not merely encouraged at this exhibit to learn about the brain through doing but are trained to see functional and dysfunctional brains and to then diagnose themselves and their children by playing games and taking brain-measurement tests. As a result, the interactive engagement of the exhibit creates a new space of public medicalization. Reflections and suggestions are offered at the end of the article. (shrink)

Cognitive science typically postulates unconscious mental phenomena, computational or otherwise, to explain cognitive capacities. The mental phenomena in question are supposed to be inaccessible in principle to consciousness. I try to show that this is a mistake, because all unconscious intentionality must be accessible in principle to consciousness; we have no notion of intrinsic intentionality except in terms of its accessibility to consciousness. I call this claim the The argument for it proceeds in six steps. The essential (...) point is that intrinsic intentionality has aspectual shape: Our mental representations represent the world under specific aspects, and these aspectual features are essential to a mental state's being the state that it is. (shrink)

Gold & Stoljar reveal that adherence to the radical neuron doctrine cannot be maintained via appeals to scientific principles. Using arguments from naturalism and materialism, unification, and exemplars, it is shown that the “mind-is-brain” materialism explicit in the trivial version of the neuron doctrine ultimately suffers the same theoretical fate. Cognitive science, if it is to adopt an ontology at all, would be better served by a metaphysically neutral ontology such as double-aspect theory or neutral monism.

Solipsism, Individualism and Cognitive Science [1] "Artificial Intelligence cannot ignore philosophy" - John McCarthy I shall challenge the claim that Good Old-Fashioned Artificial Intelligence, or GOFAI is solipsistic while more recent neural or "brain-style" approaches to AI are not. After distinguishing GOFAI from connectionism, I will first show that GOFAI is not committed to solipsism but rather to what is more properly called individualism.

The rise of cognitive neuroscience is the most important scientific and intellectual development of the last thirty years. Findings pour forth, and major initiatives for brain research continue. The social sciences have responded to this development slowly--for good reasons. The implications of particular controversial findings, such as the discovery of mirror neurons, have been ambiguous, controversial within neuroscience itself, and difficult to integrate with conventional social science. Yet many of these findings, such as those of experimental neuro-economics, (...) pose very direct challenges to standard social science. At the same time, however, the known facts of social science, for example about linguistic and moral diversity, pose a significant challenge to standard neuroscience approaches, which tend to focus on "universal" aspects of human and animal cognition. A serious encounter between cognitive neuroscience and social science is likely to be challenging, and transformative, for both parties. Although a literature has developed on proposals to integrate neuroscience and social science, these proposals go in divergent directions. None of them has a developed conception of social life. This book surveys these issues, introduces the basic alternative conceptions both of the mental world and the social world, and show how, with sufficient modification, they can be fit together in plausible ways. The book is not a "new theory " of anything, but rather an exploration of the critical issues that relate to the social aspects of cognition which expands the topic from the social neuroscience of immediate interpersonal interaction to the whole range of places where social variation interacts with the cognitive. The focus is on the conceptual problems produced by any attempt to take these issues seriously, and also on the new resources and considerations relevant to doing so. But it is also on the need for a revision of social theoretical concepts in order to utilize these resources. The book points to some conclusions, especially about how the process of what was known as socialization needs to be understood in cognitive science friendly terms. But there is no attempt to resolve the underlying issues within cognitive science, which will doubtless persist. (shrink)

Jonathan Walkan challenges cognitive science's dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic model of mental representation. That logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition. It falls short, however, when confronted by the frame problem---the lack of a principled way to determine which features of a representation must be updated when new (...) information becomes available. So far, proposed alternatives, including the imagistic model, have not resolved the problem. Waskan proposes the Intrinsic Cognitive Models hypothesis, according to which representational states can be concpetualized as the cognitive equivalent of scale models.Waskan argues further that the proposal that humans harbor and manipulate cognitive counterparts to scale models offers the only viable explanation for what most clearly differentiates humans from other creatures: the capacity to engage in truth-preserving manipulation of representations. The ICM hypothesis, he claims, can be distinguished from sentence-based accounts of truth preservation in a way that is fully compatible with what is known about the brain. (shrink)

In recent years, the family of algorithms collected under the term ``deep learning'' has revolutionized artificial intelligence, enabling machines to reach human-like performances in many complex cognitive tasks. Although deep learning models are grounded in the connectionist paradigm, their recent advances were basically developed with engineering goals in mind. Despite of their applied focus, deep learning models eventually seem fruitful for cognitive purposes. This can be thought as a kind of biological exaptation, where a physiological structure becomes applicable (...) for a function different from that for which it was selected. In this paper, it will be argued that it is time for cognitive science to seriously come to terms with deep learning, and we try to spell out the reasons why this is the case. First, the path of the evolution of deep learning from the connectionist project is traced, demonstrating the remarkable continuity, and the differences as well. Then, it will be considered how deep learning models can be useful for many cognitive topics, especially those where it has achieved performance comparable to humans, from perception to language. It will be maintained that deep learning poses questions that cognitive sciences should try to answer. One of such questions is the reasons why deep convolutional models that are disembodied, inactive, unaware of context, and static, are by far the closest to the patterns of activation in the brain visual system. (shrink)

Cognitive Science, Literature, and the Arts is the first student-friendly introduction to the uses of cognitive science in the study of literature, written specifically for the non-scientist. Patrick Colm Hogan guides the reader through all of the major theories of cognitive science, focusing on those areas that are most important to fostering a new understanding of the production and reception of literature. This accessible volume provides a strong foundation of the basic principles of (...) class='Hi'>cognitive science, and allows us to begin to understand how the brain works and makes us feel as we read. (shrink)

Fundamentals of Cognitive Science draws on research from psychology, philosophy, artificial intelligence, linguistics, and neuroscience to provide an engaging and student-friendly introduction to this interdisciplinary field. Whilst structured around traditional cognitive psychology, the book also looks at cognitive neuroscience, and magic.

Parallel distributed processing is transforming the field of cognitive science. Microcognition provides a clear, readable guide to this emerging paradigm from a cognitive philosopher's point of view. It explains and explores the biological basis of PDP, its psychological importance, and its philosophical relevance.

The article discusses the process of “conceptual borrowing”, according to which, when a new discipline emerges, it develops its technical vocabulary also by appropriating terms from other neighbouring disciplines. The phenomenon is likened to Carl Schmitt’s observation that modern political concepts have theological roots. The authors argue that, through extensive conceptual borrowing, AI has ended up describing computers anthropomorphically, as computational brains with psychological properties, while brain and cognitive sciences have ended up describing brains and minds computationally and (...) informationally, as biological computers. The crosswiring between the technical languages of these disciplines is not merely metaphorical but can lead to confusion, and damaging assumptions and consequences. The article ends on an optimistic note about the self-adjusting nature of technical meanings in language and the ability to leave misleading conceptual baggage behind when confronted with advancement in understanding and factual knowledge. (shrink)

Over the last few decades, our knowledge of how the human mind and brain works increased dramatically. The field of cognitive science enables us to understand religious traditions, rituals, and visionary experiences in novel ways. This has implications for the study of the New Testament and early Christianity. How people in the ancient Mediterranean world remembered sayings and stories, what they experienced when participating in rituals, how they thought about magic and miracle, and how they felt and (...) reasoned about moral questions--all of that can be now better understood with the help of insights from cognitive science. István Czachesz argues that the field of New Testament Studies witnesses the beginning of a cognitive turn. He surveys relevant developments in the Cognitive Science of Religion and explores the field of cognitive and behavioral sciences in search of opportunities of gaining new insights about biblical materials. Czachesz presents some methodological tools and initial steps, together with a large number of examples of applying the cognitive approach to the New Testament and related ancient literature. (shrink)

Among non-human animals, crows, octopuses and honeybees are well-known for their complex brains and cognitive abilities. Widening the lens from the idiosyncratic abilities of exemplars like these to those of animals across the phylogenetic spectrum begins to reveal the ancient evolutionary process by which complex brains and cognition first arose in different lineages. The distribution of 35 phenotypic traits in 17 metazoan lineages reveals that brain and cognitive complexity in only three lineages (vertebrates, cephalopod mollusks, and euarthropods) (...) can be attributed to the pivotal role played by body, sensory, brain and motor traits in active visual sensing and visuomotor skills. Together, these pivotal traits enabled animals to transition from largely reactive to more proactive behaviors, and from slow and two-dimensional motion to more rapid and complex three-dimensional motion. Among pivotal traits, high-resolution eyes and laminated visual regions of the brain stand out because they increased the processing demands on and the computational power of the brain by several orders of magnitude. The independent acquisition of pivotal traits in cognitively complex (CC) lineages can be explained as the completion of several multi-trait transitions over the course of evolutionary history, each resulting in an increasing level of complexity that arises from a distinct combination of traits. Whereas combined pivotal traits represent the highest level of complexity in CC lineages, combined traits at lower levels characterize many non-CC lineages, suggesting that certain body, sensory and brain traits may have been linked (the trait-linkage hypothesis) during the evolution of both CC and non-CC lineages. (shrink)

This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking. 1 The Explanatory Vocabulary of Cognition 2 The Explanatory Role of Representations 3 The Relevance of Computation 4 The (...) Psychological Reality of Programs: Strong Equivalence 5 Constraining Functional Architecture 6 The Bridge from Physical to Symbolic: Transduction 7 Functional Architecture and Analogue Processes 8 Mental Imagery and Functional Architecture 9 Epilogue: What is Cognitive Science the Science of? (shrink)

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

This article compares situated cognition to contemporary Neo-Aristotelian approaches to the mind. The article distinguishes two components in this paradigm: an Aristotelian essentialism which is alien to situated cognition and a Wittgensteinian “capacity approach” to the mind which is not just congenial to it but provides important conceptual and argumentative resources in defending social cognition against orthodox cognitive science. It focuses on a central tenet of that orthodoxy. According to what I call “encephalocentrism,” cognition is primarily or even (...) exclusively a computational process occurring inside the brain. Neo-Aristotelians accuse this claim of committing a “homuncular” or “mereological fallacy”. The article explains why the label “fallacy” is misleading, reconstructs the argument to the effect that encephalocentric applications of psychological predicates to the brain and its parts amount to a category mistake, and defends this argument against objections by Dennett, Searle, and Figdor. At the same time it criticizes the Neo-Aristotelian denial that the brain is the organ of cognition. It ends by suggesting ways in which the capacity approach and situated cognition might be combined to provide a realistic and ecologically sound picture of cognition as a suite of powers that flesh-and-blood animals exercise within their physical and social environments. (shrink)

Various notions of plausibility are used in cognitive science to argue for or against the “goodness of theories.” However, plausibility remains poorly understood and difcult to analyze. We review debates in the philosophy of science on uses of plausibility in the assessment of novel scientifc theories as well as recent attempts to formalize, reform, or eliminate specifc notions of plausibility. Although these discussions highlight important concerns behind plausibility claims, they fail to identify viable notions of plausibility that (...) are sufciently diferent from other criteria of “good theory,” such as prior probability or external coherence. We survey uses of plausibility in linguistics and cognitive science, confrming that plausibility is often a proxy for other criteria of good theory. We argue that the need remains for concepts of plausibility that can be employed to assess the quality of proposals at the early stages of theory development when other criteria are not yet applicable. We identify two such notions: one relating to formal constraints on theories and another capturing initial epistemic consensus, if not necessarily convergence on the truth, about the target system in a community of inquiry. We briefy assess the specifcity and added value of these notions of plausibility relative to other criteria for good theory. (shrink)

This article investigates the extent to which the cognitive science of religion (CSR) and Donald Davidson’s semantic holism (DSH) harmonize. We first characterize CSR, philosophical semantics (and more specifically DSH). We then note a prima facie tension between CSR and DSH’s view of First-Person Authority (that we know what is meant when we speak in a way that we do not when others speak). If CSR is correct that the causes of religious belief are located in cognitive (...) processes in the mind/brain, then religious insiders might have no idea what they are talking about: only the scholar of CSR would have a chance of knowing what they ‘really’ mean. The article argues that the resolution to this problem is to take seriously DSH’s rejection of semantic bifurcation, specifically rejecting the idea that religious and non-religious language can be sharply distinguished. We conclude by supporting the following claims: (i) common cognitive neural/psychological processes are explanatorily relevant in proposed meaning-theories for any discourse, and (ii) those processes need semantic supplementation with reference to external and naturalistic factors (biological, cultural, environmental etc.). Keywords: cognitive science of religion, cognitive theory, holism, semantics, philosophy of language, religious studies, theory of religion. (shrink)

Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to (...) adaptive success. This target article critically examines this approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency. (shrink)

The problem of semantic content is the problem of explicating those features of brain processes by virtue of which they may properly be thought to possess meaning or reference. This paper criticizes the account of semantic content associated with fodor's version of cognitive science, And offers an alternative account based on mathematical communication theory. Its key concept is that of a neuronal representation maintaining a high-Level of mutual information with a designated external state of affairs under changing (...) conditions of perceptual presentation. (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?

In our daily lives we conceive of our surroundings as an objectively given reality. The world is perceived through our senses, and ~hese provide us, so we believe, with a faithful image of the world. But occ~ipnally we are forced to realize that our senses deceive us, e. g., by illusions. For a while it was believed that the sensation of color is directly r~lated to the frequency of light waves, until E. Land (the inventor of the polaroid camera) showed (...) in detailed experiments that our perception of, say, a colored spot depends on the colors of its surrounding. On the other hand, we may experience hallucinations or dreams as real. Quite evidently, the relationship between the "world" and our "brain" is intricate. Another strange problem is the way in which we perceive time or the "Now". Psychophysical experiments tell us that the psychological "Now" is an extended period of time in the sense of physics. The situation was made still more puzzling when, in the nineteen-twenties, Heisenberg and others realized that, by observing processes in the microscopic world of electrons and other elementary particles, we strongly interfere with that world. The outcome of experiments - at least in general - can only be predicted statistically. What is the nature ofthis strange relationship between "object" and "observer"? This is another crucial problem of the inside-outside or endo-exo dichotomy. (shrink)

This is the first major textbook to offer a truly comprehensive review of cognitive science in its fullest sense. Ranging across artificial intelligence models and cognitive psychology through to recent discursive and cultural theories Rom Harre offers a breathtakingly original yet accessible integration of the field. At its core this textbook addresses the question "is psychology a science?" with a clear account of scientific method and explanation and their bearing on psychological research. A pivotal figure in (...) psychology and philosophy for many decades Rom Harre has turned his unmatched breadth of reference and insight for students at all levels. Whether describing, language, categorization, memory, the brain or connectionism the book always links our intuitions about beliefs, desires and their social context to the latest accounts of their place in computational and biological models. Fluently written and well structured, this an ideal text for students. The book is divided into four basic modules, with three lectures in each; the reader is guided with helpful learning points, study and essay questions and key readings for each chapter. (shrink)

Cognitive science of religion (CSR) has increased influence in religious studies, the resistance of religious protectionists notwithstanding. CSR's most provocative work stresses the role of implicit cognition in explaining religious thought and conduct. Exhibiting explanatory pluralism, CSR seeks integrative accounts across the social, psychological, and brain sciences. CSR reflects prominent trends in the cognitive sciences generally. First, CSR is giving greater attention to the new tools and findings of cognitive neuroscience. Second, CSR researchers have done (...) carefully designed, nonlaboratory studies of experience, incorporating precise physiological measures, obtaining astonishing findings about the experiences of ritual participants and observers. Third, CSR theorists have advanced evolutionary hypotheses about religions from eight perspectives (cross-indexing three levels of selection with three mechanisms of selection). Cultural group selectionists headline credibility enhancing displays and Big Gods in the religious consolidation of large-scale societies. Other CSR researchers marshal counterevidence and advance alternative hypotheses. CSR findings are incompatible with the New Atheists’ projects on two fronts. (shrink)

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)