The theory of mind (ToM) deficit associated with autism spectrum disorder has been a central topic in the debate about the modularity of the mind. In a series of papers, Philip Gerrans and Valerie Stone argue that positing a ToM module does not best explain the deficits exhibited by individuals with autism (Gerrans 2002; Stone & Gerrans 2006a, 2006b; Gerrans & Stone 2008). In this paper, I first criticize Gerrans and Stone’s (2008) account. Second, I discuss various studies of individuals (...) with autism and argue that they are best explained by positing a higher-level, domain-specific ToM module. (shrink)

This article discusses the properties of a controllable, flexible, hybrid parallel computing architecture that potentially merges pattern recognition and arithmetic. Humans perform integer arithmetic in a fundamentally different way than logic-based computers. Even though the human approach to arithmetic is both slow and inaccurate it can have substantial advantages when useful approximations ( intuition ) are more valuable than high precision. Such a computational strategy may be particularly useful when computers based on nanocomponents become feasible because it offers a way (...) to make use of the potential power of these massively parallel systems. Because the system architecture is inspired by neuroscience and is applied to cognitive problems, occasional mention is made of experimental data from both fields when appropriate. (shrink)

b>. Recent findings in cognitive science suggest that the epistemic subject is more complex and epistemically porous than is generally pictured. Human knowers are open to the world via multiple channels, each operating for particular purposes and according to its own logic. These findings need to be understood and addressed by the philosophical community. The current essay argues that one consequence of the new findings is to invalidate certain arguments for epistemic anti-realism.

Mind and Matter is conceived as an interdisciplinary journal, aimed at an educated readership interested in all aspects of mind-matter research from the perspectives of the sciences and humanities. It is devoted to the publication of empirical, theoretical, and conceptual research and the discussion of its results. The main subject areas of the journal are -- neuroscience, cognitive science, behavioral science -- physical approaches, mathematical modeling, data analysis -- philosophy of science, philosophy of mind, applied metaphysics --cultural and social studies, (...) history of ideas. (shrink)

van der Velde & de Kamps make a case for neural blackboard architectures to address four questions raised by human language. Unfortunately, they neglect a sizable literature relating blackboard architectures to other fundamental cognitive questions, specifically consciousness and voluntary control. Called “global workspace theory,” this literature integrates a large body of brain and behavioral evidence to come to converging conclusions.

Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay is to describe (...) recent empirical work on analogical cognition as well as model applications to philosophical topics. Topics to be discussed include the epistemological distinction between implicit knowledge and explicit knowledge, the debate between empiricists and nativists, the frame problem, expertise, creativity and autism, cognitive architecture, and relational knowledge. Particular attention is given to Dedre Gentner and colleague’s structure-mapping theory – the most developed and widely accepted model of analogical cognition. (shrink)

Philosophical Psychology, Volume 0, Issue 0, Page 1-4, Ahead of Print.

The Phenomenological Mind, by Shaun Gallagher and Dan Zahavi, is part of a recent initiative to show that phenomenology, classically conceived as the tradition inaugurated by Edmund Husserl and not as mere introspection, contributes something important to cognitive science. (For other examples, see “References” below.) Phenomenology, of course, has been a part of cognitive science for a long time. It implicitly informs the works of Andy Clark (e.g. 1997) and John Haugeland (e.g. 1998), and Hubert Dreyfus explicitly uses it (e.g. (...) 1992). But where the former use phenomenology in the background as broad context and Dreyfus uses it primarily (though not exclusively) as a critique of conventional AI, Gallagher and Zahavi wish to indicate a positive and constructive place for it within cognitive science. They do not recommend that we simply accept pronouncements of thinkers like Husserl, Heidegger, Sartre and Merleau‐Ponty and apply them to questions of cognition, but that we use revised forms of phenomenology to illuminate dimensions of cognitive experience that are missing in current research. The book is presented as an “introduction to philosophy of mind and cognitive science” written from a phenomenological perspective. It seeks to justify the use of phenomenology in cognitive science by showing what kinds of questions it asks and answers, the variety of uses to which it has recently been put and the fruitfulness of some of its findings. The catalog of topics, for the most part, matches other introductions to the philosophy of mind, such as questions of method, consciousness, perception, intentionality, embodiment, action, agency and other minds. One issue presented here that is not generally dealt with in existing philosophy of mind and cognitive science texts is temporality, a mainstay of the continental tradition. After an introductory chapter that places phenomenology in the context of other approaches, the book lays out the main tenets of phenomenological method. Here, one encounters expected components of phenomenology: the epoché (described below), phenomenological reduction, eidetic variation, and so on. This traditional fare is soon followed by some potential surprises, namely, attempts to “naturalize” phenomenology, a few attempts to formalize it, and the emergence of ‘neurophenomenology’. Each of these is a bit surprising because Husserl was a vocal critic of naturalism, seeing transcendental phenomenology as an alternative to the empirical study of consciousness. He was also skeptical about the possibilities of mathematizing phenomenology. Gallagher and Zahavi acknowledge these points, but since they are not repeating history or undertaking exegesis, strict adherence to canonical phenomenology is not required. Naturalizing phenomenology means recognizing that “the phenomena it studies are part of nature and are therefore also open to empirical investigation” (p.. (shrink)

Although philosophy has often been an outlier in cognitive science to date, this paper describes two projects in naturalistic philosophy of mind and one in naturalistic philosophy of science that have been pursued during the past 30 years and that can make theoretical and methodological contributions to cognitive science. First, stances on the mind-body problem (identity theory, functionalism, and heuristic identity theory) are relevant to cognitive science as it negotiates its relation to neuroscience and cognitive neuroscience. Second, analyses of mental (...) representation address both their vehicle and their content; new approaches to characterizing how representations have content are particularly relevant to understanding the relation of cognitive agents to their environments. Third, the recently formulated accounts of mechanistic explanation in philosophy of science both provide perspective on the explanatory project of cognitive science and may offer normative guidance to cognitive science (e.g., by providing perspective on how multiple disciplinary perspectives can be integrated in understanding a given mechanism). (shrink)

Although philosophy has been only a minor contributor to cognitive science to date, this paper describes two projects in naturalistic philosophy of mind and one in naturalistic philosophy of science that have been pursued during the past 30 years and that can make theoretical and methodological contributions to cognitive science. First, stances on the mind–body problem (identity theory, functionalism, and heuristic identity theory) are relevant to cognitive science as it negotiates its relation to neuroscience and cognitive neuroscience. Second, analyses of (...) mental representations address both their vehicles and their contents; new approaches to characterizing how representations have content are particularly relevant to understanding the relation of cognitive agents to their environments. Third, the recently formulated accounts of mechanistic explanation in philosophy of science both provide perspective on the explanatory project of cognitive science and may offer normative guidance to cognitive science (e.g., by providing perspective on how multiple disciplinary perspectives can be integrated in understanding a given mechanism). (shrink)

1. The Naturalistic Turn in Philosophy of Science 2. The Framework of Mechanistic Explanation: Parts, Operations, and Organization 3. Representing and Reasoning About Mechanisms 4. Mental Mechanisms: Mechanisms that Process Information 5. Discovering Mental Mechanisms 6 . Summary.

Susan Carey’s account of bootstrapping aims to explain how important new concepts are learned. After arguing that Carey’s own formulations of bootstrapping fail in this aim, I critically evaluate three reformulations of bootstrapping that may have a better chance at success.

Constructivist theory must choose between the hypothesis that felt perturbation drives cognitive development (the priority of felt perturbation) and the hypothesis that the particular process that eventually produces new cognitive structures first produces felt perturbation (the continuity of process). There is ambivalence in Piagetian theory regarding this choice. The prevalent account of constructivist theory adopts the priority of felt perturbation. However, on occasion Piaget has explicitly rejected it, simultaneously endorsing the continuity of process. First, I explicate and support this latter (...) position, arguing that felt perturbation emerges after the construction of a new cognitive structure has already begun. Next, I discuss the broader significance of rejecting the priority of felt perturbation in terms of a distinction between two types of theory of effective change, labeled Lamarckian and Darwinian in analogy with familiar theories of evolutionary change. Rejecting the priority of felt perturbation allows the development of a Darwinian perspective. In turn, the Darwinian perspective offers advantages for elaborating the analogy Piaget proposed between consciousness and the relation of form and content. (shrink)

Nuyen (this journal, vol 20, no. 4) contrasts "objectivity" in the natural science with a relation of "understanding" between knower and object in the human sciences. I present a different approach to natural science--a perspective in which the objects of the natural sciences are constructions that arise out of the interaction of the knower and the knowable world. From this perspective, it is inappropriate to to distinguish between the natural sciences and the human sciences in the way Nuyen does. Instead, (...) the crucial point is that if the human sciences refrain from abstractions and generalizations in favor of the particularities of objects and situations, then they must employ some other way to constitute a separation between theory and data in order for the work to be "scientific" as that term is used in regard to the natural sciences. (shrink)

Constructivism is the most recent in a long line of failed attempts to discredit nativism. It seeks support from true (but irrelevant) facts, wastes its energy on straw men, and jumps logical gaps; but its greatest weakness lies in its failure to match nativism's explanation of a wide range of disparate phenomena, particularly in language acquisition.

What does The Simpsons have to say about this issue? Most likely, absolutely nothing. The Simpsons is a fine television show, but it’s not where to look for innovative ideas in cognitive neuroscience or the philosophy of mind. We think, however, that it can help give us insight into a related, and extremely important, issue. We might learn through this show something about common-sense metaphysics, about how people naturally think about consciousness, the brain and the soul.

The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. The quest to understand the mind is as old as recorded human thought; but the progress of modern science has offered new methods and techniques which have revolutionized this enquiry. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. -/- Cognitive science is the project of understanding the mind by modelling its (...) workings. Psychology is its heart, but it draws together various adjoining fields of research, including artificial intelligence; neuroscientific study of the brain; philosophical investigation of mind, language, logic, and understanding; computational work on logic and reasoning; linguistic research on grammar, semantics, and communication; and anthropological explorations of human similarities and differences. Each discipline, in its own way, asks what the mind is, what it does, how it works, how it developed - how it is even possible. The key distinguishing characteristic of cognitive science, Boden suggests, compared with older ways of thinking about the mind, is the notion of understanding the mind as a kind of machine. She traces the origins of cognitive science back to Descartes's revolutionary ideas, and follows the story through the eighteenth and nineteenth centuries, when the pioneers of psychology and computing appear. Then she guides the reader through the complex interlinked paths along which the study of the mind developed in the twentieth century. Cognitive science, in Boden's broad conception, covers a wide range of aspects of mind: not just 'cognition' in the sense of knowledge or reasoning, but emotion, personality, social communication, and even action. In each area of investigation, Boden introduces the key ideas and the people who developed them. -/- No one else could tell this story as Boden can: she has been an active participant in cognitive science since the 1960s, and has known many of the key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story at first hand. Her history looks forward as well as back: it is her conviction that cognitive science today - and tomorrow - cannot be properly understood without a historical perspective. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, who wants to know how our understanding of our mental activities and capacities has developed. (shrink)

In spite of of its name, cognitive science is not yet a fully coherent and integrated science but rather a fairly loose coalition of largely independent disciplines, some descriptive and empirical (cognitive psychology, linguistics, neuroscience, cognitive anthropology), some speculative and foundational (philosophy), others both speculative and applied (artificial intelligence). What brought these disciplines together and still sustains their interdisciplinary cooperation is the dedication to explain, simulate and technically reproduce the workings of the human mind according to a distinct and rather (...) well defined research program. This program has been so far the animating spirit and the integrative force in the formation and development of cognitive science. I will call it the 'core program.' Around the core program there is a much looser and less coherent outer paradigm, or set of paradigms, which historically has prepared the ground for the core program, to which the participating disciplines have contributed their insights, results and methods, and still do, and from which challenges to the core program have emerged and are likely to do so in the future. (shrink)

Cognitive anthropology contributes to cognitive science as a complement to cognitive psychology. The chief threat to its survival has not been rejection by other cognitive scientists but by other cultural anthropologists. It will remain a part of cognitive science as long as cognitive anthropologists research, teach, and publish.

Given the controversial nature of most issues in the foundations of cognitive science, it could hardly be expected from a description of the territory that ...

Some of Kant's ideas about the mind have had a huge influence on cognitive science, in particular his view that sensory input has to be worked up using concepts or concept-like states and his conception of the mind as a system of cognitive functions. We explore these influences in the first part of the paper. Other ideas of Kant's about the mind have not been assimilated into cognitive science, including important ideas about processes of synthesis, mental unity, and consciousness and (...) self-consciousness. They are the topic of the second part of the paper. (shrink)

A commentary on: -/- Whatever next? Predictive brains, situated agents, and the future of cognitive science, by Clark, A. (in press). Behav. Brain Sci.

Perceptual tasks such as object matching, mammogram interpretation, mental rotation, and satellite imagery change detection often require the assignment of correspondences to fuse information across views. We apply techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after fingerprint examinations. The gaze data provide temporal sequences that the machine translation algorithm uses to estimate the subjects' assumptions of corresponding regions. Our results show that experts and novices have similar surface behavior, such as (...) the number of fixations made or the duration of fixations. However, the approach applied to data from experts is able to identify more corresponding areas between two prints. The fixations that are associated with clusters that map with high probability to corresponding locations on the other print are likely to have greater utility in a visual matching task. These techniques address a fundamental problem in eye tracking research with perceptual matching tasks: Given that the eyes always point somewhere, which fixations are the most informative and therefore are likely to be relevant for the comparison task? (shrink)

Humans and other animals are capable of thought, emotion, consciousness, and understanding. Galaxies, trees, rocks, and chairs are not. Why is this? Is it merely that we are more complicated, or that we are made out of a different kind of material? Or is it that we are not entirely material at all? That is, what does it mean to say that something has a mind? In this course, we will focus on the mind-body problem, the question of how the (...) mind is related to the body, but we will also address a number of related questions: Can computers think? How is it that our thoughts manage to be about other things? What is the nature of consciousness? What do psychology, neuroscience, and artificial intelligence have to tell us about the fundamental nature of the mind? (shrink)

Some issues heavily debated in perception sciences are presented: the explanatory gap and the experience measurement problem. The experimental phenomenology is said to provide substantive contribution to settle controversy over the phenome- nological adequacy of perception theory and models. An interpretation of experi- mental phenomenology as explanation of the perceptual manifold, and definition of relation varieties to eventually map onto other perception sciences’ domains is sketched.

This paper tries to sketch what phenomenological constraints for Neurosciences would be looking like. It maintains that such an adequate phenomenological description as that provided by Gestalt psychology is a condition for the Neurosciences to account for every-day experience opf the world. The explanatory gap in Cognitive sciences is discussed with reference to Jackendoff, Prinz, and Köhler.

This paper deals with two theories Husserl worked out on imagery in order to see if the properties a phenomenological description ascribes to imagery are fit to give meaningful constraints upon theoretical models that guide empirical research. Husserlian descriptions and Kosslyn and colleagues models are hence compared as to their explanatory strategy and implications.

Commentaries on our target article raise further questions about the validity of an undifferentiated central executive that supplies resources to all verbal tasks. Working memory tasks are more likely to measure divided attention capacities and the efficiency of performing tasks within specific domains than a shared resource pool. In our response to the commentaries, we review and further expand upon empirical findings that relate performance on working memory tasks to sentence processing, concluding that our view that the two are not (...) strongly related remains viable in light of the material presented in the commentaries. We suggest that a productive research enterprise would be to develop the concept of working memory as a pool of resources in relation to specific tasks. (shrink)

After establishing its roots in basic forms of sensorimotor coupling between an organism and its environment, the new wave in cognitive science known as “enactivism” has turned to higher-level cognition, in an attempt to prove that even socioculturally mediated meaning-making processes can be accounted for in enactivist terms. My article tries to bolster this case by focusing on how the production and interpretation of stories can shape the value landscape of those who engage with them. First, it builds on the (...) idea that narrative plays a key role in expressing the values held by a society, in order to argue that the interpretation of stories cannot be understood in abstraction from the background of storytelling in which we are always already involved. Second, it presents interpretation as an example of what Di Paolo et al. ( 2010 ) have called in their recent enactivist manifesto a “joint process of sensemaking”: just like in face-to-face interaction, the recipient of the story collaborates with the authorial point of view, generating meaning. Third, it traces the meaning brought into the world by interpretation to the activation and, potentially, the restructuring of the background of the recipients of the story. (shrink)

A U-shaped curve in a cognitive-developmental trajectory refers to a three-step process: good performance followed by bad performance followed by good performance once again. U-shaped curves have been observed in a wide variety of cognitive-developmental and learning contexts. U-shaped learning seems to contradict the idea that learning is a monotonic, cumulative process and thus constitutes a challenge for competing theories of cognitive development and learning. U-shaped behavior in language learning (in particular in learning English past tense) has become a central (...) topic in the Cognitive Science debate about learning models. Antagonist models (e.g., connectionism versus nativism) are often judged on their ability of modeling or accounting for U-shaped behavior. The prior literature is mostly occupied with explaining how U-shaped behavior occurs. Instead, we are interested in the necessity of this kind of apparently inefficient strategy. We present and discuss a body of results in the abstract mathematical setting of (extensions of) Gold-style computational learning theory addressing a mathematically precise version of the following question: Are there learning tasks that require U-shaped behavior? All notions considered are learning in the limit from positive data. We present results about the necessity of U-shaped learning in classical models of learning as well as in models with bounds on the memory of the learner. The pattern emerges that, for parameterized, cognitively relevant learning criteria, beyond very few initial parameter values, U-shapes are necessary for full learning power! We discuss the possible relevance of the above results for the Cognitive Science debate about learning models as well as directions for future research. (shrink)

This is the second of a three volume series on innateness--one of the central topics currently debated in the cognitive and behavioral sciences. The series grows out of interdisciplinary "working groups" at Rutgers University. The first volume focused on the fundamental architecture of the human mind. The second volume focuses on culture. It is comprised of cutting-edge work by an interdisciplinary roster of well-known scholars including Robert Boyd, Peter Richerson, David Sloan Wilson, Paul Griffiths, Dan Sperber, Kim Sterelny, Scott Atran, (...) and Peter Todd. (shrink)

The past three decades have witnessed a remarkable growth of research interest in the mind. This trend has been acclaimed as the ‘cognitive revolution’ in psychology. At the heart of this revolution lies the claim that the mind is a computational system. The purpose of this paper is both to elucidate this claim and to evaluate its implications for cognitive psychology. The nature and scope of cognitive psychology and cognitive science are outlined, the principal assumptions underlying the information processing approach (...) to cognition are summarised and the nature of artificial intelligence and its relationship to cognitive science are explored. The ‘computational metaphor’ of mind is examined and both the theoretical and methodological issues which it raises for cognitive psychology are considered. Finally, the nature and significance of ‘connectionism’—the latest paradigm in cognitive science—are briefly reviewed. (shrink)

Every few years Andy Clark writes a book designed to help philosophers of mind get up to speed with the most recent developments in cognitive science. In his first two such books, Microcognition (1989) and Associative Engines (1993), Clark introduced the then-cutting-edge field of connectionist networks. In his newest one, Being There: Putting Brain, Body and World Together Again (1997), he once again provides a concise, readable introduction to the state of the art. This time, though, Clark has moved beyond (...) (but not abandoned) connectionism for what he calls 'embodied, active cognition,' in which the primary focus of study is not the inner workings of the rational thinker, but rather the way the autonomous, embodied agent interacts with its environment. (shrink)

The ideas of continental philosopher Martin Heidegger have been influential in cognitive science and artificial intelligence, despite the fact that there has been no effort to analyze these ideas empirically. The experiments reported here are designed to lend empirical support to Heidegger’s phenomenology and more specifically his description of the transition between ready-to-hand and unready-to-hand modes in interactions with tools. In experiment 1, we found that a smoothly coping cognitive system exhibits 1/fβ type positively correlated noise and that its (...) correlated character is reduced when the system is perturbed. This indicates that the participant and tool constitute a self-assembled, extended device during smooth coping and this device is disrupted by the perturbation. In experiment 2, we examine the re-organization of awareness that occurs when a smoothly coping, self-assembled, extended cognitive system is perturbed. We found that the disruption is accompanied by a change in attention which interferes with participants’ performance on a simultaneous cognitive task. Together these experiments show that a smoothly coping participant-tool system can be temporarily disrupted and that this disruption causes a change in the participant’s awareness. Since these two events follow as predictions from Heidegger’s work, our study offers evidence for the hypothesized transition from readiness-to-hand to unreadiness-to-hand. (shrink)

We provide a taxonomy of the two most important debates in the philosophy of the cognitive and neural sciences. The first debate is over methodological individualism: is the object of the cognitive and neural sciences the brain, the whole animal, or the animal--environment system? The second is over explanatory style: should explanation in cognitive and neural science be reductionist-mechanistic, inter-level mechanistic, or dynamical? After setting out the debates, we discuss the ways in which they are interconnected. Finally, we make some (...) recommendations that we hope will help philosophers interested in the cognitive and neural sciences to avoid dead ends. (shrink)

In order to investigate cognition fundamental assumptions must be made about what, in general terms, it is. In cognitive science it is usually assumed that cognition is computational and representational. There have been well known disputes over these assumptions, with rival claims that cognition is dynamical, situated and embodied. In this paper I emphasize the relations between cognition and control. I present a model of cognition that makes the claim that it is a form of high-order control, and I argue (...) that viewing cognition as high-order control could be a useful framework assumption for cognitive science. Cognition has many aspects and different concepts can emphasize different aspects of it. Computational and representational assumptions have been very productive, and dynamical and embodied assumptions have also been productive, though to a much lesser extent so far. Control, however, has received insufficient attention in cognition science. The model I propose is based on a point that few will dispute, namely that control of behavior is the ultimate function of cognition. Bringing this to the foreground can be productive by highlighting the ways in which cognition is structured in relation to this control function. If this perspective is valuable it will be because the control function has a highly structuring effect on cognition. As a result a control-based perspective will predict many features of cognition and yield a coherent, integrated picture. (shrink)

Standard approaches to cognition emphasise structures (representations and rules) much more than processes, in part because this appears to be necessary to capture the normative features of cognition. However the resultant models are in?exible and face the problem of computational intractability. I argue that the ability of real world cognition to cope with complexity results from deep and subtle coupling between cognitive and non-cognitive processes. In order to capture this, theories of cognition must shift from a structural rule-de?ned conception of (...) cognition to a thoroughgoing embedded process approach. (shrink)

Introduction : brainbound versus extended -- From embodiment to cognitive extension -- The active body -- The negotiable body -- Material symbols -- World, Incorporated -- Boundary disputes -- Mind re-bound -- The cure for cognitive hiccups (HEMC, HEC, HEMC ...) -- Rediscovering the brain -- The limits of embodiment -- Painting, planning, and perceiving -- Disentangling embodiment -- Conclusions : mind-sized bites.

Mindware: An Introduction to the Philosophy of Cognitive Science invites readers to join in up-to-the-minute conceptual discussions of the fundamental issues, problems, and opportunities in cognitive science. Written by one of the most renowned scholars in the field, this vivid and engaging introductory text relates the story of the search for a cognitive scientific understanding of mind. This search is presented as a no-holds-barred journey from early work in artificial intelligence, through connectionist (artificial neural network) counter-visions, and on to neuroscience, (...) artificial life, dynamics, and robotics. The journey ends with some wide-ranging and provocative speculation about the complex coadaptive dance between mind, culture, and technology. Each chapter opens with a brief sketch of a major research tradition or perspective, followed by short yet substantial critical discussions dealing with key topics and problems. Ranging across both standard philosophical territory and the landscape of cutting-edge cognitive science, Clark highlights challenging issues in an effort to engage readers in active debate. Topics covered include mental causation; machine intelligence; the nature and status of folk psychology; the hardware/software distinction; emergence; relations between life and mind; the nature of perception, cognition, and action; and the continuity (or otherwise) of high-level human intelligence with other forms of adaptive response. Numerous illustrations, text boxes, and extensive suggestions for further reading enhance the text's utility. Helpful appendices provide background information on dualism, behaviorism, identity theory, consciousness, and more. An exceptional text for introductory and more advanced courses in cognitive science and the philosophy of mind, Mindware is also essential reading for anyone interested in these fascinating and ever-changing fields. (shrink)

Psychologists and philosophers tend to treat expertise as a property of special individuals. These are individuals who have devoted much more time than the general population to the acquisition of their specific expertises. They are often said to pass through stages as they move toward becoming experts, for example, passing from an early stage, in which they follow self-conscious rules, to an expert stage in which skills are executed unconsciously. This approach is ‘one-dimensional’. Here, two extra dimensions are added. They (...) are drawn from the programme known as Studies of Expertise and Experience (SEE) and its ‘Periodic Table of Expertises’. SEE, which is sociological, and/or Wittgensteinian, in inspiration, takes expertise to be the property of groups; there are ‘domains’ of expertise. Under SEE, level of expertise grows with embedding in the society of domain experts; the key is the transmission of domain-specific tacit knowledge. Thus, one extra dimension is degree of exposure to tacit knowledge. Under SEE, domains can be big or small so there can be ‘ubiquitous tacit knowledge’, such as natural-language-speaking or other elements of general social behaviour, which belong to every member of a society. The second extra dimension is, therefore, ‘esotericity’. The resulting three-dimensional ‘expertise-space’ can be explored in a number of ways which reveal the narrowness of the analysis and the mistakes that have been made under the one-dimensional model. (shrink)

Smell 'sensations' are among the most mysterious of conscious experiences, and have been cited in defense of the thesis that the character of perceptual experience is independent of the physical events that seem to give rise to it. Here we review the scientific literature on olfaction, and we argue that olfaction has a distinctive profile in relation to the other modalities, on four counts: in the physical nature of the stimulus, in the sensorimotor interactions that characterize its use, in the (...) structure of its intramodal distinctions and in the functional role that it plays in people's behaviour. We present two thought experiments in which we detail what would be involved in transforming sounds into smells, and also smells into colours. Through these thought-experiments, we argue that the experiential character of smell derives precisely from the structural features of olfaction, and that an embodied account of olfactory phenomenology is called for. (shrink)

Cognitive architectures - task-general theories of the structure and function of the complete cognitive system - are sometimes argued to be more akin to frameworks or belief systems than scientific theories. The argument stems from the apparent non-falsifiability of existing cognitive architectures. Newell was aware of this criticism and argued that architectures should be viewed not as theories subject to Popperian falsification, but rather as Lakatosian research programs based on cumulative growth. Newell's argument is undermined because he failed to demonstrate (...) that the development of Soar, his own candidate architecture, adhered to Lakatosian principles. This paper presents detailed case studies of the development of two cognitive architectures, Soar and ACT-R, from a Lakatosian perspective. It is demonstrated that both are broadly Lakatosian, but that in both cases there have been theoretical progressions that, according to Lakatosian criteria, are pseudo-scientific. Thus, Newell's defense of Soar as a scientific rather than pseudo-scientific theory is not supported in practice. The ACT series of architectures has fewer pseudo-scientific progressions than Soar, but it too is vulnerable to accusations of pseudo-science. From this analysis, it is argued that successive versions of theories of the human cognitive architecture must explicitly address five questions to maintain scientific credibility. (shrink)

I make three points about Searle’s philosophical work on consciousness and intentionality. First, I comment on Searle’s presentation and paper “The Problems of Consciousness.” I show that one of Searle’s philosophical claims about the relation between consciousness and intentionality appears to conflict with a demand he makes on acceptable empirical theories of the brain. Second, I argue that closer attention to the difference between conceptual connections and empirical connections corrects and improves Searle’s response to the so-called “Logical Connections” argument, the (...) argument that claims that mental states cannot be causes, since they are conceptually connected with actions. Third, I give a formulation of his Chinese Room argument that avoids some tempting responses. (shrink)

Dr. Davidson is a William James and Vilas Research Professor of Psychology and Psychiatry at the University of Wisconsin-Madison. He received his Ph.D. from Harvard University in Psychology and has been at Wisconsin since 1984.

Expanded version of a chapter to appear in The Oxford Handbook of Contemporary Analytic Philosophy, edited by Frank Jackson and Michael Smith (Oxford: Oxford University Press, 2005).

The so-called ‘cognitive revolution’ (Gardner, 1985) in American psychology owed much to developments in adjacent disciplines, especially theoretical linguistics and computer science. Indeed, the cognitive revolution brought forth, not only a change in the conception of psychology, but also an inter-disciplinary approach to understanding the mind, involving philosophy, anthropology and neuroscience along with computer science, linguistics and psychology. Many commentators agree in dating the conception of this inter-disciplinary approach, cognitive science, to 11 September 1956, the second day of a symposium (...) on information theory held at MIT (Miller, 2003). Over the next twenty years or so, cognitive science developed an institutional presence through research centres, conferences, journals, and a substantial infusion of funds from the Alfred P. Sloan Foundation. (shrink)

Is an individual agent constitutive of or constituted by its social interactions? This question is typically not asked in the cognitive sciences, so strong is the consensus that only individual agents have constitutive efficacy. In this article we challenge this methodological solipsism and argue that interindividual relations and social context do not simply arise from the behavior of individual agents, but themselves enable and shape the individual agents on which they depend. For this, we define the notion of autonomy as (...) both a characteristic of individual agents and of social interaction processes. We then propose a number of ways in which interactional autonomy can influence individuals. Then we discuss recent work in modeling on the one hand and psychological investigations on the other that support and illustrate this claim. Finally, we discuss some implications for research on social and individual agency. (shrink)

This essay proposes and defends a pluralistic theory of conceptual embodiment. Our concepts are represented in at least two ways: (i) through sensorimotor simulations of our interactions with objects and events and (ii) through sensorimotor simulations of natural language processing. Linguistic representations are “dis-embodied” in the sense that they are dynamic and multimodal but, in contrast to other forms of embodied cognition, do not inherit semantic content from this embodiment. The capacity to store information in the associations and inferential relationships (...) among linguistic representations extends our cognitive reach and provides an explanation of our ability to abstract and generalize. This theory is supported by a number of empirical considerations, including the large body of evidence from cognitive neuroscience and neuropsychology supporting a multiple semantic code explanation of imageability effects. (shrink)

This paper explores the relationship between several ideas about the mind and cognition. The hypothesis of extended cognition claims that cognitive processes can and do extend outside the head, that elements of the world around us can actually become parts of our cognitive systems. It has recently been suggested that the hypothesis of extended cognition is entailed by one of the foremost philosophical positions on the nature of the mind: functionalism, the thesis that mental states are defined by their functional (...) relations rather than by their physical constituents. Furthermore, it has been claimed that functionalism entails a version of extended cognition which is sufficiently radical as to be obviously false. I survey the debate and propose several ways of avoiding this conclusion, emphasizing the importance of distinguishing the hypothesis of extended cognition from the related notion of the extended mind. (shrink)

In this paper, I argue that neuroscience not only is not complemented, but rather is positively undermined, by the substantive commitments of materialist philosophers of mind. Thus, we can have neuroscience or "neurophilosophy" but not both. Since neuroscience is a real science, to the extent that it is in tension with materialistic neurophilosophy, the latter should be abandoned and the former retained.

Clearly the Cartesian ontological commitments that have dominated the scientific study of the mind up to the present have not been helpful. ...

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This paper argues that the cognitive neuroscientific use of ordinary mental terms to report research results and draw implications can contribute to public confusion and misunderstanding regarding neuroscience results. This concern is raised at a time when cognitive neuroscientists are increasingly required by funding agencies to link their research to specific results of public benefit, and when neuroethicists have called for greater attention to public communication of neuroscience. The paper identifies an ethical dimension to the problem and presses for greater (...) sensitivity and responsibility among neuroscientists regarding their use of such terms. (shrink)

This article provides a retrospective, current and prospective overview on developments in brain research and neuroscience. Both theoretical and empirical studies are considered, with emphasis in the concept of multivariability and metastability in the brain. In this new view on the human brain, the potential multivariability of the neuronal networks appears to be far from continuous in time, but confined by the dynamics of short-term local and global metastable brain states. The article closes by suggesting some of the implications of (...) this view in future multidisciplinary brain research. (shrink)

Consciousness emerges as the key topic in this second edition of Owen Flanagan's popular introduction to cognitive science and the philosophy of psychology....

Machine generated contents note: Introduction; Part I. Foundations: 1. History and core themes; 2. The representational theory of mind; 3. Cognitive architectures; Part II. Aspects of Cognition: 4. Perception; 5. Action; 6. Human learning and memory; 7. Reasoning and decision making; 8. Concepts; 9. Language; 10. Emotion; 11. Consciousness; Part III. Research Programs: 12. Cognitive neuroscience; 13. Evolutionary psychology; 14. Embodied, embedded, and extended cognition; 15. Animal cognition; Glossary.

The life–mind continuity thesis holds that mind is prefigured in life and that mind belongs to life. The biggest challenge faced by proponents of this thesis is to show how an explanatory framework that accounts for basic biological processes can be systematically extended to incorporate the highest reaches of human cognition. We suggest that this apparent ‘cognitive gap’ between minimal and human forms of life appears insurmountable largely because of the methodological individualism that is prevalent in cognitive science. Accordingly, a (...) twofold strategy is used to show how a consideration of sociality can address both sides of the cognitive gap: (1) it is argued from a systemic perspective that inter-agent interactions can extend the behavioral domain of even the simplest agents and (2) it is argued from a phenomenological perspective that the cognitive attitude characteristic of adult human beings is essentially intersubjectively constituted, in particular with respect to the possibility of perceiving objects as detached from our own immediate concerns. These two complementary considerations of the constitutive role of inter-agent interactions for mind and cognition indicate that sociality is an indispensable element of the life–mind continuity thesis and of cognitive science more generally. (shrink)

Current theories of social cognition are mainly based on a representationalist view. Moreover, they focus on a rather sophisticated and limited aspect of understanding others, i.e. on how we predict and explain others’ behaviours through representing their mental states. Research into the ‘social brain’ has also favoured a third-person paradigm of social cognition as a passive observation of others’ behaviour, attributing it to an inferential, simulative or projective process in the individual brain. In this paper, we present a concept of (...) social understanding as an ongoing, dynamical process of participatory sense-making and mutual incorporation. This process may be described (1) from a dynamical agentive systems point of view as an interaction and coordination of two embodied agents ; (2) from a phenomenological approach as a mutual incorporation , i.e. a process in which the lived bodies of both participants extend and form a common intercorporality. Intersubjectivity, it is argued, is not a solitary task of deciphering or simulating the movements of others but means entering a process of embodied interaction and generating common meaning through it. This approach will be further illustrated by an analysis of primary dyadic interaction in early childhood. (shrink)

Hermeneutics is usually defined as the theory and practice of interpretation. As a discipline it involves a long and complex history, starting with concerns about the proper interpretation of literary, sacred, and legal texts. In the twentieth century, hermeneutics broadens to include the idea that humans are, in Charles Taylor’s phrase, ‘self-interpreting animals’ (Taylor, 1985). In contrast to the narrowly prescriptive questions of textual interpretation, philosophical hermeneutics, as developed by thinkers like Heidegger, Gadamer, and Ricoeur, raises questions about the conditions (...) of possibility for human understanding — not how we should interpret or understand something, but what interpretation and understanding are and how they work. For the nineteenth-century philosopher Wilhelm Dilthey, the hermeneutical disciplines were very different from the disciplines of science, including the newly emerging science of psychology. In contrast to psychology, which, in part, attempts to explain the natural behaviour of human animals in causal terms, Dilthey (1926) thinks of the hermeneutical disciplines as attempting to under- stand the behaviour of human persons in terms of their experience and inner motivation. Inner life is not composed of a series of mechanistic starts and stops, but is woven together into a continuity (Zusammenhang) that has a structure, by.. (shrink)

The first full-scale history of cognitive science, this work addresses a central issue: What is the nature of knowledge?

Most discussion of Sellars’ deployment of the distinct images of “man-in-the-world” in "Philosophy and the Scientific Image of Man" focus entirely on the manifest and the scientific images. But the original image is important as well. In this essay I explore the importance of the original image to the Sellarsian project of naturalizing epistemology, connecting Sellars’ insights regarding this image to recent work in cognitive development.

This paper considers the past and future of Psychology within Cognitive Science. In the history section, I focus on three questions: (a) how has the position of Psychology evolved within Cognitive Science, relative to the other disciplines that make up Cognitive Science; (b) how have particular Cognitive Science areas within Psychology waxed or waned; and (c) what have we gained and lost. After discussing what’s happened since the late 1970s, when the Society and the journal began, I speculate about where (...) the field is going. (shrink)

This paper defends strict invariantism against some philosophical and empirical data that have been taken to compromise it. The defence involves a combination of a priori philosophical arguments and empirically informed theorizing. The positive account of the data is an epistemic focal bias account that draws on cognitive psychology. It involves the assumption that, owing to limitations of the involved cognitive resources, intuitive judgments about knowledge ascriptions are generated by processing only a limited part of the available information?the part that (...) is in focus. According to the epistemic focal bias account, the intuitive judgments about knowledge ascriptions that constitute contrast effects amount to false positives, whereas the intuitive judgments that constitute salient alternatives effects amount to false negatives. I conclude by considering how the basic epistemic focal bias account may be developed further by reference to relevant alternatives theory in epistemology, pragmatics in the philosophy of language, and dual process theory in cognitive psychology. (shrink)

Abstract What role do speakers'/authors? communicative intentions play in language interpretation? Cognitive scientists generally assume that listeners'/readers? recognitions of speakers'/authors? intentions is a crucial aspect of utterance interpretation. Various philosophers, literary theorists and anthropologists criticize this intentional view and assert that speakers'/authors? intentions do not provide either the starting point for linguistic interpretation or constrain how texts should be understood. Until now, cognitive scientists have not seriously responded to the current challenges regarding intentions in communication. My purpose in this article (...) is to provide just such a response. I briefly describe some of the empirical evidence in cognitive science on the importance of intentions in communication. I then discuss some of the criticisms of the intentional view that have arisen in the humanities and social sciences. Following this, I offer a partial resolution to the intentionalist controversy that recognizes the differing views on the idea of linguistic interpretation. I specifically suggest a way of thinking about linguistic interpretation in terms of the time?course of understanding that provides a metric for evaluating the role of intentions in communication. This time?course perspective on linguistic understanding provides for the plurality of ideas that now exist both in cognitive science and in postmodern philosophical thought. (shrink)