Editorial preface to the fourth edition and modified translation -- The text of the Philosophische Untersuchungen -- Philosophische untersuchungen = Philosophical investigations -- Philosophie der psychologie, ein fragment = Philosophy of psychology, a fragment.

Robert Kane provides a critical overview of debates about free will of the past half century, relating this recent inquiry to the broader history of the free will issue and to vital currents of twentieth century thought. Kane also defends a traditional libertarian or incompatibilist view of free will, employing arguments that are both new to philosophy and that respond to contemporary developments in physics and biology, neuro science, and the cognitive and behavioral sciences.

This volume is an introduction to contemporary debates in the philosophy of mind. In particular, the author focuses on the controversial "eliminativist" and "instrumentalist" attacks - from philosophers such as of Quine, Dennett, and the Churchlands - on our ordinary concept of mind. In so doing, Rey offers an explication and defense of "mental realism", and shows how Fodor's representational theory of mind affords a compelling account of much of our ordinary mental talk of beliefs, hopes, and desires.

I had intended this review not specifically as a criticism of Skinner's speculations regarding language, but rather as a more general critique of behaviorist (I would now prefer to say "empiricist") speculation as to the nature of higher mental processes. My reason for discussing Skinner's book in such detail was that it was the most careful and thoroughgoing presentation of such speculations, an evaluation that I feel is still accurate. Therefore, if the conclusions I attempted to substantiate in the review (...) are correct, as I believe they are, then Skinner's work can be regarded as, in effect, a reductio ad absurdum of behaviorist assumptions. My personal view is that it is a definite merit, not a defect, of Skinner's work that it can be used for this purpose, and it was for this reason that I tried to deal with it fairly exhaustively. I do not see how his proposals can be improved upon, aside from occasional details and oversights, within the framework of the general assumptions that he accepts. I do not, in other words, see any way in which his proposals can be substantially improved within the general framework of behaviorist or neobehaviorist, or, more generally, empiricist ideas that has dominated much of modern linguistics, psychology, and philosophy. The conclusion that I hoped to establish in the review, by discussing these speculations in their most explicit and detailed form, was that the general point of view was largely mythology, and that its widespread acceptance is not the result of empirical support, persuasive reasoning, or the absence of a plausible alternative. (shrink)

Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. Decision Making: J. Frank Yates (...) and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)

In the course of the discussion, Professor Quine pinpoints the difficulties involved in translation, brings to light the anomalies and conflicts implicit in our ...

Presents observations on and analyses of the purposes, methods, and implications of linguistic studies, the concerns and findings of recent work, and current problems and controversies.

The purpose of this book is to develop a terminological structure in which private perceptions can be discussed publicly without bringing into existence the usual unnecessary philosophical problems of confused usage of language. chisholm displays an appraisive, quasi-ethical use of language, whereby he claims that a thing has some particular sensible property is to have adequate evidence that it actually does have that property. (staff).

The nature–nurture controversy has been with us since it was first outlined by Plato and Aristotle. Nobody likes it anymore. All reasonable scholars today agree that genes and environment interact to determine complex cognitive outcomes. So why does the controversy persist? First, it persists because it has practical implications that cannot be postponed (i.e., what can we do to avoid bad outcomes and insure better ones?), a state of emergency that sometimes tempts scholars to stake out claims they cannot defend. (...) Second, the controversy persists because we lack a precise, testable theory of the process by which genes and the environment interact. In the absence of a better theory, innateness is often confused with (1) domain specificity (outcome X is so peculiar that it must be innate), (2) species specificity (we are the only species who do X, so X must lie in the human genome), (3) localization (outcome X is mediated by a particular part of the brain, so X must be innate), and (4) learnability (we cannot figure out how X could be learned, so X must be innate). We believe that an explicit, plausible theory of interaction is now around the corner, and that many of the classic maneuvers to defend or attack innateness will soon disappear. In the interim, some serious errors can be avoided if we keep these confounded issues apart. That is the major goal of this chapter: not to attack innateness but to clarify what claims about innateness are (and are not) about. (shrink)

In _Matter and Consciousness_, Paul Churchland presents a concise and contemporary overview of the philosophical issues surrounding the mind and explains the main theories and philosophical positions that have been proposed to solve them. Making the case for the relevance of theoretical and experimental results in neuroscience, cognitive science, and artificial intelligence for the philosophy of mind, Churchland reviews current developments in the cognitive sciences and offers a clear and accessible account of the connections to philosophy of mind. For this (...) third edition, the text has been updated and revised throughout. The changes range from references to the iPhone's "Siri" to expanded discussions of the work of such contemporary philosophers as David Chalmers, John Searle, and Thomas Nagel. Churchland describes new research in evolution, genetics, and visual neuroscience, among other areas, arguing that the philosophical significance of these new findings lies in the support they tend to give to the reductive and eliminative versions of materialism. Matter and Consciousness, written by the most distinguished theorist and commentator in the field, offers an authoritative summary and sourcebook for issues in philosophy of mind. It is suitable for use as an introductory undergraduate text. (shrink)

The Act of Thinking opens up a large new area for philosophical research.

Cognitive science is the multidisciplinary scientific study of cognition and its role in intelligent agency. It examines what cognition is, what it does, and how it works.

Neuroscience has dramatically increased understanding of how mental states and processes are realized by the brain, thus opening doors for treating the multitude of ways in which minds become dysfunctional. This book explores questions such as when is it permissible to alter a person's memories, influence personality traits or read minds? What can neuroscience tell us about free will, self-control, self-deception and the foundations of morality? The view of neuroethics offered here argues that many of our new powers to read (...) ,alter and control minds are not entirely unparalleled with older ones. They have, however, expanded to include almost all our social, political and ethical decisions. Written primarily for graduate students, this book will appeal to anyone with an interest in the more philosophical and ethical aspects of the neurosciences. (shrink)

Roughly, behaviorist accounts of self-knowledge hold that first persons acquire knowledge of their own minds in just the same way other persons do: by means of behavioral evidence. One obvious problem for such accounts is that the fail to explain the great asymmetry between the authority of first person as opposed to other person attributions of thoughts and other mental states and events. Another is that the means of acquisition seems so different: other persons must infer my mental contents from (...) my behavior, whereas I need not. In this paper, I articulate a specifically Sellarsian behavioristic account of our knowledge of our own and others’ minds, and defend it against these two obvious objections. I further defend it against objections from Davidson, to the effect that Sellars’ account in particular cannot properly formulate the asymmetry at issue, and that behaviorism in general cannot account for the a priori character of the asymmetry. I argue that Davidson misinterprets Sellars at key points, and also misconstrues his own explanandum: What Sellars account can explain is an asymmetry in the reliability of first and other person attributions, but this asymmetry is not a priori. What is a priori is an asymmetry in the practice of according epistemic authority to such attributions. I argue that this asymmetry is what Davidson can and does explain, by appeal to the constitutive features of radical interpretation. But accepting this explanation does not require the rejection of Sellars’ account of the way that first and other persons in fact arrive at beliefs about their mental contents. The two approaches — one descriptive and empirical, the other constitutive and ideal — are compatible. (shrink)

Edward Erwin's clear analysis addresses some of the fundamental questions on behavior therapy that remained in 1978, when this book was first published.

There is an argument whichshows conclusively that if qualia are causallyimpotent we could have no possible grounds forbelieving that they exist. But if, as this argumentshows, qualia are causally potent with respect to thedescriptions we give of them, it is tolerably certainthat they are causally potent in other morebiologically significant respects. The empiricalevidence, from studies of the effect of lesions of thestriate cortex shows that what is missing inthe absence of visual qualia is the ability tocategorize sensory inputs in the (...) visual modality. This would suggest that the function of privateexperience is to supply what Broadbent callsthe evidence on which the categorization ofproblematic sensory inputs are based. At the sametime analysis of the causal relation shows that whatdifferentiates a causal relation from an accidentalspatio-temporal conjunction is the existence ofreciprocally related dispositional properties of theentities involved which combine to make it true thatif one member of the conjunction, the cause, had notexisted, the other, the effect, would not haveexisted. The possibility that qualia might bedispositional properties of experiences which, as itwere, supply the invisible glue that sticks cause toeffect in this case is examined, but finallyrejected. (shrink)

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)

Memory is a single word that refers to a complex and fascinating set of abilities which people and other animals possess that enables them to learn from experience and retain what they learn. In memory, an experience affects the nervous system, leaves a residue or trace, and changes later behavior. Types of memory are tremendously varied; so, too, are the techniques used in cognitive science to investigate them. The aim of the present chapter is to give an overall sense of (...) types of memory as well as of techniques used in the experimental study of memory. The process of remembering will be broken up into two main components: encoding and retrieval. We shall then discuss the factors which determine the effectiveness of each component and some of the ways in which memory both succeeds and fails. (shrink)

This is the one and only book by the pioneer of the identity theory of mind. The collection focuses on Place's philosophy of mind and his contributions to neighbouring issues in metaphysics and epistemology. It includes an autobiographical essay as well as a recent paper on the function and neural location of consciousness.

Effective conditioning requires a correlation between the experimenter's definition of a response and an organism's, but an animal's perception of its behavior differs from ours. These experiments explore various definitions of the response, using the slopes of learning curves to infer which comes closest to the organism's definition. The resulting exponentially weighted moving average provides a model of memory that is used to ground a quantitative theory of reinforcement. The theory assumes that: incentives excite behavior and focus the excitement on (...) responses that are contemporaneous in memory. The correlation between the organism's memory and the behavior measured by the experimenter is given by coupling coefficients, which are derived for various schedules of reinforcement. The coupling coefficients for simple schedules may be concatenated to predict the effects of complex schedules. The coefficients are inserted into a generic model of arousal and temporal constraint to predict response rates under any scheduling arrangement. The theory posits a response-indexed decay of memory, not a time-indexed one. It requires that incentives displace memory for the responses that occur before them, and may truncate the representation of the response that brings them about. As a contiguity-weighted correlation model, it bridges opposing views of the reinforcement process. By placing the short-term memory of behavior in so central a role, it provides a behavioral account of a key cognitive process. (shrink)