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)

In his book, Contemporary Theories of Knowledge, John Pollock argues that all externalist theories of justification should be rejected on the grounds that they do not do justice to the action-guiding character of epistemic norms. I reply that Pollocks argument is ineffective — because not all externalisms are intended to involve action-guiding norms, and because Pollock does not give a good reason for thinking that action-guiding norms must be internalist norms. Second, I consider rehabilitating Pollocks argument by restricting his conclusion (...) to theories that do involve action-guiding norms and providing a better reason to think that action-guiding norms must be internalist norms. But I claim that if Pollocks argument is made strong enough to rule out all externalisms, it rules out too much, namely, any plausible conception of epistemic norms. (shrink)

Fodor and Pylyshyn (1988) argue that any successful model of cognition must use classical architecture; it must depend upon rule-based processing sensitive to constituent structure. This claim is central to their defense of classical AI against the recent enthusiasm for connectionism. Connectionist nets, they contend, may serve as theories of the implementation of cognition, but never as proper theories of psychology. Connectionist models are doomed to describing the brain at the wrong level, leaving the classical view to account for the (...) mind.This paper considers whether recent results in connectionist research weigh against Fodor and Pylyshyn's thesis. The investigation will force us to develop criteria for determining exactly when a net is capable of systematic processing. Fodor and Pylyshyn clearly intend their thesis to affect the course of research in psychology. I will argue that when systematicity is defined in a way that makes the thesis relevant in this way, the thesis is challenged by recent progress in connectionism. (shrink)

A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...) and neural models. The explanations of behavior provided are like those traditional in the physical sciences, unlike the explanations provided by symbolic models. (shrink)

As Ruben notes, the macrostrategy can allow that the distinction may also be drawn at some micro level, but it insists that descent to the micro level is ...

This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...) e m a j o r d i s t i n c t i o n i s t h a t , w h i l e b o t h Connectionist and Classical architectures postulate representational mental states, the latter but not the former are committed to a symbol-level of representation, or to a ‘language of thought’: i.e., to representational states that have combinatorial syntactic and semantic structure. Several arguments for combinatorial structure in mental representations are then reviewed. These include arguments based on the ‘systematicity’ of mental representation: i.e., on the fact that cognitive capacities always exhibit certain symmetries, so that the ability to entertain a given thought implies the ability to entertain thoughts with semantically related contents. We claim that such arguments make a powerful case that mind/brain architecture is not Connectionist at the cognitive level. We then consider the possibility that Connectionism may provide an account of the neural (or ‘abstract neurological’) structures in which Classical cognitive architecture is implemented. We survey a n u m b e r o f t h e s t a n d a r d a r g u m e n t s t h a t h a v e b e e n o f f e r e d i n f a v o r o f Connectionism, and conclude that they are coherent only on this interpretation. (shrink)

The present essay is addressed simultaneously to two distinct audiences.

Preface 1 Introduction: The Persistence of the Attitudes 2 Individualism and Supervenience 3 Meaning Holism 4 Meaning and the World Order Epilogue Creation Myth Appendix Why There Still Has to be a Language of Thought Notes References Author Index.

This book is largely a reconsideration of the arguments that are supposed to ground this consensus.

Preface by Daniel C. Dennett Beginning with a general theory of function applied to body organs, behaviors, customs, and both inner and outer representations, ...

This collection of essays serves both as an introduction to Ruth Millikan’s much-discussed volume Language, Thought, and Other Biological Categories and as an extension and application of Millikan’s central themes, especially in the philosophy of psychology. The title essay discusses meaning rationalism and argues that rationality is not in the head, indeed, that there is no legitimate interpretation under which logical possibility and necessity are known a priori. In other essays, Millikan clarifies her views on the nature of mental representation, (...) explores whether human thought is a product of natural selection, examines the nature of behavior as studied by the behavioral sciences, and discusses the issues of individualism in psychology, psychological explanation, indexicality in thought, what knowledge is, and the realism/antirealism debate. Table of Contents Preface Acknowledgments Introduction 1 In Defense of Proper Functions 2 Propensities, Exaptations, and the Brain 3 Thoughts without Laws 4 Biosemantics 5 On Mentalese Orthography, Part 1 6 Compare and Contrast Dretske, Fodor, and Millikan on Teleosemantics 7 What Is Behavior? A Philosophical Essay on Ethology and Individualism in Psychology, Part 1 8 The Green Grass Growing All Around: A Philosophical Essay on Ethology and Individualism in Psychology, Part 2 9 Explanation in Biopsychology 10 Metaphysical Antirealism? 11 Truth Rules, Hoverflies, and the Kripke-Wittgenstein Paradox 12 Naturalist Reflections on Knowledge 13 The Myth of the Essential Indexical 14 White Queen Psychology; or, The Last Myth of the Given References Index. (shrink)

Belief in Psychology tackles the knotty problem of how to treat the propositional attitudes states such as beliefs, desires, hopes and fears within cognitive science. Jay Garfield asserts that the propositional attitudes can and must play useful theoretical roles in the science of the mind and stresses the importance of their social context in this sophisticated and original argument.Garfield proposes his own alternative to the apparent dilemma of either scrapping the propositional attitudes or of making room for them within a (...) dimly foreseen, futuristic cognitive science. He provides a characterization of the nature of propositional attitudes conceived as psychological states, and of their role in cognitive science. They must, he argues, be understood as relations between their bearers and their environments, including, in the case of persons, their social and linguistic environments. Understanding them in this way is consonant with current practice in empirical cognitive science and provides a philosophically useful analysis of mental representation.Along the way, Garfield discusses the relationship between the enterprise of science and our commonsense conception of ourselves and the world, and the ways in which this relation constrains our understanding of the propositional attitudes, and illuminates a realistic interpretation of a psychology of representational states and processes. Belief in Psychology is the only book that adopts such a view, and it is unique in providing a sustained critique of eliminativism, instrumentalism, and computational individualism - the main competing proposals within philosophy of cognitive science for eliminating or reconciling propositional attitudes.Jay Garfield is Associate Professor of Philosophy in the School of Communications and Cognitive Science at Hampshire College and a co-director of the University of Massachusetts Cognitive Science Institute. He is a co-author of Cognitive Science: An Introduction and editor of Modularity in Knowledge Representation and Natural Language Understanding, both Bradford books. A Bradford Book. (shrink)

This collection of 17 essays by the author offers a comprehensive theory of mind, encompassing traditional issues of consciousness and free will.

I assess Churchland's views on folk psychology and conceptual thinking, with particular emphasis on the connection between these topics.

Something remarkable is happening in the cognitive sciences. After a quarter of a century of cognitive models that were inspired by the metaphor of the digital computer, the newest cognitive models are inspired by the properties of the brain itself. Variously referred to as connectionist, parallel distributed processing, or neutral network models, they explore the idea that complex intellectual operations can be carried out by large networks of simple, neuron-like units. The units themselves are identical, very low-level and 'stupid'. Intelligent (...) performance is derived from the pattern of connection strengths between units, and the fundamental cognitive activity is pattern recognition and completion. Connectionism and the Mind provides an introduction to this newly emerging approach to understanding the mind. The first few chapters focus on network architecture, offering accessible treatment of the equations that describe learning and the propagation of activation. Furthermore, the reader is walked step-by-step through the activities of networks engaged in pattern recognition, learning, and cognitive tasks such as memory retrieval and prototype formation. The remainder of the book addresses the implications of connectionism for theories of the mind, both philosophical and psychological. Foe example: What Role is played by pattern recognition and completion as basic as cognitive functions? Connectionist models have particular strength in learning and pattern recognition; should they be limited to those functions, or can they provide an overall account of cognitive functioning? In particular, can connectionist models provide an adequate account of the ability to employ linguistic and other symbol systems, or must an adequate system incorporate symbol processing as a basic cognitive capacity? Finally, Connectionism and the Mind examines the relation of connectionist models to philosophical accounts of propositional attitudes, and to a variety of other inquiries in cognitive psychology, linguistics, developmental psychology, artificial intelligence and neuroscience. (shrink)

This paper explores a line of argument against the classical paradigm in cognitive science that is based upon properties of non-linear dynamical systems, especially in their chaotic and near-chaotic behavior. Systems of this kind are capable of generating information-rich macro behavior that could be useful to cognition. I argue that a brain operating at the edge of chaos could generate high-complexity cognition in this way. If this hypothesis is correct, then the symbolic processing methodology in cognitive science faces serious obstacles. (...) A symbolic description of the mind will be extremely difficult, and even if it is achieved to some approximation, there will still be reasons for rejecting the hypothesis that the brain is in fact a symbolic processor. (shrink)

Michael Devitt is a distinguished philosopher of language. In this book he takes up one of the most important difficulties that must be faced by philosophical semantics: namely, the threat posed by holism. Three important questions lie at the core of this book: what are the main objectives of semantics; why are they worthwhile; how should we accomplish them? Devitt answers these 'methodological' questions naturalistically and explores what semantic programme arises from the answers. The approach is anti-Cartesian, rejecting the idea (...) that linguistic or conceptual competence yields any privileged access to meanings. This new methodology is used first against holism. Devitt argues for a truth-referential localism, and in the process rejects direct-reference, two-factor, and verificationist theories. The book concludes by arguing against revisionism, eliminativism, and the idea that we should ascribe narrow meanings to explain behaviour. (shrink)

Spelling out in detail what we do and do not know about phenomenological experience, this book denies the common view of consciousness as a central decision...