Introduction: Something on the State of the Art 1 I. Functionalism and Realism 1. Operationalism and Ordinary Language 35 2. The Appeal to Tacit Knowledge in Psychological Explanations 63 3. What Psychological States are Not 79 4. Three Cheers for Propositional Attitudes 100 II. Reduction and Unity of Science 5. Special Sciences 127 6. Computation and Reduction 146 III. Intensionality and Mental Representation 7. Propositional Attitudes 177 8. Tom Swift and His Procedural Grandmother 204 9. Methodological Solipsism Considered as a (...) Research Strategy in Cognitive Psychology 225 IV. Nativism 10. The Present Status of the Innateness Controversy 257 Notes 317. (shrink)

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)

Beyond modularityattempts a synthesis of Fodor's anticonstructivist nativism and Piaget's antinativist constructivism. Contra Fodor, I argue that: (1) the study of cognitive development is essential to cognitive science, (2) the module/central processing dichotomy is too rigid, and (3) the mind does not begin with prespecified modules; rather, development involves a gradual process of “modularization.” Contra Piaget, I argue that: (1) development rarely involves stagelike domain-general change and (2) domainspecific predispositions give development a small but significant kickstart by focusing (...) the infant's attention on proprietary inputs. Development does not stop at efficient learning. A fundamental aspect of human development (“representational redescription”) is the hypothesized process by which information that isina cognitive system becomes progressively explicit knowledgetothat system. Development thus involves two complementary processes of progressive modularization and progressive “explicitation.” Empirical findings on the child as linguist, physicist, mathematician, psychologist, and notator are discussed in support of the theoretical framework. Each chapter concentrates first on the initial state of the infant mind/brain and on subsequent domain-specific learning in infancy and early childhood. It then goes on to explore data on older children's problem solving and theory building, with particular focus on evolving cognitive flexibility. Emphasis is placed throughout on the status of representations underlying different capacities and on the multiple levels at which knowledge is stored and accessible. Finally, consideration is given to the need for more formal developmental models, and a comparison is made between representational redescription and connectionist simulations of development. In conclusion, I consider what is special about human cognition by speculating on the status of representations underlying the structure of behavior in other species. (shrink)

[from the publisher's website] Questions about the existence and attributes of God form the subject matter of natural theology, which seeks to gain knowledge of the divine by relying on reason and experience of the world. Arguments in natural theology rely largely on intuitions and inferences that seem natural to us, occurring spontaneously—at the sight of a beautiful landscape, perhaps, or in wonderment at the complexity of the cosmos—even to a nonphilosopher. In this book, Helen De Cruz and Johan De (...) Smedt examine the cognitive origins of arguments in natural theology. They find that although natural theological arguments can be very sophisticated, they are rooted in everyday intuitions about purpose, causation, agency, and morality. Using evidence and theories from disciplines including the cognitive science of religion, evolutionary ethics, evolutionary aesthetics, and the cognitive science of testimony, they show that these intuitions emerge early in development and are a stable part of human cognition. -/- De Cruz and De Smedt analyze the cognitive underpinnings of five well-known arguments for the existence of God: the argument from design, the cosmological argument, the moral argument, the argument from beauty, and the argument from miracles. Finally, they consider whether the cognitive origins of these natural theological arguments should affect their rationality. (shrink)

Two widely accepted assumptions within cognitive science are that (1) the goal is to understand the mechanisms responsible for cognitive performances and (2) computational modeling is a major tool for understanding these mechanisms. The particular approaches to computational modeling adopted in cognitive science, moreover, have significantly affected the way in which cognitive mechanisms are understood. Unable to employ some of the more common methods for conducting research on mechanisms, cognitive scientists’ guiding ideas about mechanism have (...) developed in conjunction with their styles of modeling. In particular, mental operations often are conceptualized as comparable to the processes employed in classical symbolic AI or neural network models. These models, in turn, have been interpreted by some as themselves intelligent systems since they employ the same type of operations as does the mind. For this paper, what is significant about these approaches to modeling is that they are constructed specifically to account for behavior and are evaluated by how well they do so—not by independent evidence that they describe actual operations in mental mechanisms. (shrink)

Resistance to the idea that phenomenology can be relevant to cognitive scientific explanation has faced two objections advanced, respectively, from both sides of the issue: from the scientific perspective it has been suggested that phenomenology, understood as an account of first-person experience, is ultimately reducible to cognitive neuroscientific explanation; and from a phenomenological perspective it has been argued that phenomenology cannot be naturalized. In this context it makes sense to consider that the notion of scientific reduction is linked (...) to a classic scientific conception of nature. I argue that if properly understood, the proposal to rethink the concept of nature itself, in enactivist phenomenological approaches, undermines the reductionist program and redefines what it means for phenomenology to be naturalized. (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)

Debate on the nature of representation in cognitive systems tends to oscillate between robustly realist views and various anti‐realist options. I defend an alternative view, deflationary realism, which sees cognitive representation as an offshoot of the extended application to cognitive systems of an explanatory model whose primary domain is public representation use. This extended application, justified by a common explanatory target, embodies idealisations, partial mismatches between model and reality. By seeing representation as part of an idealised model, (...) deflationary realism avoids the problems with robust realist views, while keeping allegiance to realism. (shrink)

Reformed epistemology involves a view of knowledge of God which Kelly James Clark and Justin Barrett have brought cognitive science to bear on. They argue that the cognitive science of religio...

If Bayesian Fundamentalism existed, Jones & Love's (J&L's) arguments would provide a necessary corrective. But it does not. Bayesian cognitive science is deeply concerned with characterizing algorithms and representations, and, ultimately, implementations in neural circuits; it pays close attention to environmental structure and the constraints of behavioral data, when available; and it rigorously compares multiple models, both within and across papers. J&L's recommendation of Bayesian Enlightenment corresponds to past, present, and, we hope, future practice in Bayesian cognitive science.

`Folk Psychology' - our everyday talk of beliefs, desires and mental events - has long been compared with the technical language of `Cognitive Science'. Does folk psychology provide a correct account of the mental causes of our behaviour, or must our everyday terms ultimately be replaced by a language developed from computational models and neurobiology? This broad-ranging book addresses these questions, which lie at the heart of psychology and philosophy. Providing a critical overview of the key literature in the (...) field, including the seminal work of Fodor and Churchland, the author explores the classic `Frame Problem' and assesses the future prospects of cognitive science. The scope of the frame problem, touching on connec. (shrink)

While the extended cognition (EC) thesis has gained more followers in cognitive science and in the philosophy of mind and knowledge, our main goal is to discuss a different area of significance of the EC thesis: its relation to philosophy of science. In this introduction, we outline two major areas: (I) The role of the thesis for issues in the philosophy of cognitive science, such as: How do notions of EC figure in theories or research programs in (...) class='Hi'>cognitive science? Which versions of the EC thesis appear, and with which arguments to support them? (II) The potentials and limits of the EC thesis for topics in general philosophy of science, such as: Can naturalism perhaps be further advanced by means of the more recent EC thesis? Can we understand “big science” or laboratory research better by invoking some version of EC? And can the EC thesis help in overcoming the notorious cognitive/social divide in science studies? (shrink)

As the dust jacket proclaims, “this is surely Fodor’s most irritating book in years …. It should exasperate philosophers, linguists, cognitive psychologists, and cognitive neuroscientists alike.” Yes, Fodor is an equal-opportunity annoyer. He sees no job for conceptual analysts, no hope for lexical semanticists, and no need for prototype theorists. When it comes to shedding light on concepts, these luminaries have delivered nothing but moonshine. Fodor aims to remedy things, and not just with snake oil. He serves up (...) plenty of clever barbs, potshots, and one-liners, not to mention arguments, to promote his “informational atomism.” It states that there is a large class of concepts, namely lexical concepts, that are ontologically and semantically primitive: each such concept has no internal structure and has its content not in virtue of any relation it bears to other concepts but in virtue of a nomic relation it bears to some property. The property it is thus “locked to” is its content. (shrink)

This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 16th annual meeting of the Cognitive Science ...

Until recently, cognitive research in infantile autism primarily focussed on the ability of autistic subjects to understand and predict the actions of others. Currently, researchers are also considering the capacity of autists to understand their own minds. In this article we discuss selected recent contributions to the theory of mind debate and the study of infantile autism, and provide an analysis of intersubjectivity and self-awareness that is informed both by empirical research and by work in the phenomenological tradition. This (...) analysis uncovers certain problems in the theory-theory account of autism, and at the same time illustrates the potential value of phenomenology for cognitive science. (shrink)

This book brings together researchers with cognitive-scientific and literary backgrounds to present innovative research in all three variations on the possible interactions between literary studies and cognitive science. The tripartite structure of the volume reflects a more ambitious conception of what cognitive approaches to literature are and could be than is usually encountered, and thus aims both to map out and to advance the field. The first section corresponds to what most people think of as "cognitive (...) poetics" or "cognitive literary studies": the study of literature by literary scholars drawing on cognitive-scientific methods, findings, and/or debates to yield insights into literature. The second section demonstrates that literary scholars needn't only make use of cognitive science to study literature, but can also, in a reciprocally interdisciplinary manner, use a cognitively informed perspective on literature to offer benefits back to the cognitive sciences. Finally, the third section, "literature in cognitive science", showcases some of the ways in which literature can be a stimulating object of study and a fertile testing ground for theories and models, not only to literary scholars but also to cognitive scientists, who here engage with some key questions in cognitive literary studies with the benefit of their in-depth scientific knowledge and training. (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)

Despite being there from the beginning, philosophical approaches have never had a settled place in cognitive research and few cognitive researchers not trained in philosophy have a clear sense of what its role has been or should be. We distinguish philosophy in cognitive research and philosophy of cognitive research. Concerning philosophy in cognitive research, after exploring some standard reactions to this work by nonphilosophers, we will pay particular attention to the methods that philosophers use. Being (...) neither experimental nor computational, they can leave others bewildered. Thought experiments are the most striking example but not the only one. Concerning philosophy of cognitive research, we will pay particular attention to its power to generate and test normative claims, claims about what should and should not be done. (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 cognitive science, and (...) allows us to begin to understand how the brain works and makes us feel as we read. (shrink)

Cognitive Science is a single-source undergraduate text that broadly surveys the theories and empirical results of cognitive science within a consistent computational perspective. In addition to covering the individual contributions of psychology, philosophy, linguistics, and artificial intelligence to cognitive science, the book has been revised to introduce the connectionist approach as well as the classical symbolic approach and adds a new chapter on cognitively related advances in neuroscience. Cognitive science is a rapidly evolving field that is (...) characterized by considerable contention among different views and approaches. Cognitive Science presents these in a relatively neutral manner. It covers many new orientations theories and findings, embedding them in an integrated computational perspective and establishing a sense of continuity and contrast with more traditional work in cognitive science. The text assumes no prerequisite knowledge, introducing all topics in a uniform, accessible style. Many topics, such as natural language processing and vision, however, are developed in considerable depth, which allows the book to be used with more advanced undergraduates or even in beginning graduate settings. A Bradford Book. (shrink)

In this paper, I argue that explaining cognitive behavior can be achieved through what I call hybrid explanatory inferences: inferences that posit mechanisms, but also draw on observed regularities. Moreover, these inferences can be used to achieve unification, in the sense developed by Allen Newel in his work on cognitive architectures. Thus, it seems that explanatory pluralism and unification do not rule out each other in cognitive science, but rather that the former represents a way to achieve (...) the latter. (shrink)

A central component of the cognitive revolution is a commitment to explaining behaviour by reference to internal representations of the world. This core aspect.

In this paper I consider the relation between Descartes' psychology of vision and the cognitive science approach to psychology (henceforth CS). In particular, I examine Descartes' the Optics (1637) in the light of David Marr's (1982) position in CS. My general claim is that CS can be seen as a rediscovery of Descartes' psychology of vision. In the first section, I point to a parallel between Descartes' epistemological revolution, which created the modem version of the problem of perception, and (...) the cognitive revolution. These fundamental revolutions in theoretical psychology were both inspired and legitimated by a revolution in mathematics. They took place in accordance with one of Marr's maxims: “To the desirable via the possible”. In the second section, I demonstrate that in the Optics, Descartes explains perception of metrical properties in a way that — on a detailed level — is in accordance with how Man argues that complex information processing systems have to be explained: both Descartes and Man emphasize the co-ordination of logical and physical analysis. In the third section, I claim that Descartes' arguments for a sharp distinction between mechanical transmission of sense data (sensation) and non-mechanical inferences on those sense data (thinking) are sound arguments seen from Man's position in CS. Descartes' arguments are based on his logical and physical analysis. Malebranche's radicalized version of Cartesian dualism turns Descartes' empirically-based assumption that mechanisms cannot realize inferences into a metaphysical assumption. In the final section, I argue that this metaphysical assumption contributes to an understanding of perception as a non-symbolic, non-inferential bottom-up process in mainstream monistic and mechanistic scientific psychology until the cognitive revolution. (shrink)