Minds, brains, and computers : the foundations of cognitive science : an anthology

書誌事項

Minds, brains, and computers : the foundations of cognitive science : an anthology

edited by Robert Cummins and Denise Dellarosa Cummins

(Blackwell philosophy anthologies, 10)

Blackwell Publishers, c2000

  • : hardcover
  • : pbk

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注記

Includes bibliographical references and index

内容説明・目次

巻冊次

: hardcover ISBN 9781557868763

内容説明

This book presents a vital resource -- a comprehensive interdisciplinary selection of seminal papers in the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy, psychology, and neuroscience. The collection is organized around three broad conceptions of the mind: the mind as computer program, the mind as a neural network, and the mind as brain. Each category includes papers that articulate the conception in question, papers that illustrate it, papers that interpret or criticize it, and papers that provide necessary technical background. Finally, there is a section of classic papers on four broad questions which have shaped contemporary thinking in cognitive science: What is innate in the mind? Is the mind a seamless whole, or is it made up of independent modules that differ significantly from each other? Are our ordinary mental concepts, such as belief, desire, and intention, a good starting place for a scientific understanding of the mind, or are they artifacts of a pre-scientific conception that should be discarded? How should biology generally, and the evolution of animals in particular, constrain our theories about mental phenomena? Taken together, these papers give a sense of the history of the field as well as its contents by presenting the argumnets, models, data, and experiments that most crucially influence theory and practice in cognitive science.

目次

Preface. Acknowledgments. Part I: The Mind as Computer: Introduction: 1. A History of Thinking: D. D. Cummins. 2. Minds and Machines: H. Putnam. 3. Semantic Engines: An Introduction to Mind Design: J. Haugeland. 4. The Language of Thought: J. A. Fodor5. Vision: D. Marr. 6. GPS, A Program that Simulates Human Thought: A. Newell and H. Simon. 7. A Procedural Model of Language Understanding: T. Winograd. 8. A General Learning Theory and its Application to Schema Abstraction: J. R. Anderson and P. J. Kline. 9. Minds, Brains, and Programs: J. R. Searle. 10. Computing, Machinery, and Intelligence: M. Turing. Part II: The Mind as Neural Network: Introduction: 11. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brian: F. Rosenblatt. 12. Cognitive Activity in Artificial Neural Networks: P. M. Churchland. 13. Cooperative Computation of Stereo Disparity: D. Marr and T. Poggio. 14. On Learning the Past Tenses of English Verbs: D. E. Rumelhart and J. L. McClelland. 15. Parallel Networks that Learn to Pronounce English Text: T. J. Sejnowski and C. R. Rosenberg. 16. Connectionism and the Problem of Systematicity: Why Smolensky's Solution Won't Work: J. A. Fodor and B. P. McLaughlin. 17. Connectionism and the Language of Thought: P. Smolensky. 18. Rules and Connections in Human Language: S. Pinker and A. Prince. Part III: The Mind as Brain: Introduction: 19. The Organization of Behavior: D. O. Hebb. 20. In Search of the Engram: K. Lashley. 21. A Logical Calculus of the Ideas Immanent in Nervous Activity: W. S. McCulloch and W. H. Pitts. 22. Is Consciousness a Brain Process? : U. T. Place. 23. The Computational Brain: Appendix: P. S. Churchland and T. J. Sejnowski. 24. What the Frog's Eye Tells the Frog's Brain: J. Y. Lettvin, H. K. Maturana, W. S. McCulloch, and W. H. Pitts. 25. Positron Emission: Tomographic Studies of the Cortical Anatomy of Single-word Processing: S. E. Petersen, P. T. Fox, M. I. Posner, M. Minton, and M. E. Raichle. 26. Computational Neuroscience: T. J. Sejnowski, C. Koch, and P. S. Churchland. 27. Two Cortical Visual Systems: L. G. Ungerleider and M. Mishkin. Part IV: Special Topics: Introduction: 28. Recent Contributions to the Theory of Innate Ideas: N. Chomsky. 29. The 'Innateness Hypothesis' and the Explanatory Models in Linguistics: H. Putnam. 30. Linguistics and Philosophy: N. Chomsky. 31. Initial Knowledge: Six Suggestions: E. Spelke. 32. Precis of the Modularity of Mind: J. A. Fodor. 33. Eliminative Materialism and the Propositional Attitudes: P. M. Churchland. 34. The Social Function of Intellect: N. Humphrey. 35. Origins of Domain Specificity: The Evolution of Functional Organization: L. Cosmides and J. Tooby. Index.
巻冊次

: pbk ISBN 9781557868770

内容説明

Minds, Brains, and Computers presents a vital resource -- the most comprehensive interdisciplinary selection of seminal papers in the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy, psychology, and neuroscience.

目次

Preface viii Part I The Mind as Computer 1 Introduction 3 1. A History of Thinking 8 D. Dellarosa Cummins 2. Minds and Machines20 H. Putnam 3. Semantic Engines: An Introduction to Mind Design 34 J. Haugeland 4. The Language of Thought: First Approximations 51 J. A. Fodor 5. Vision 69 D. Marr 6. GPS, A Program that Simulates Human Thought 84 A. Newell and H. Simon 7. A Procedural Model of Language Understanding 95 T. Winograd 8. A General Learning Theory and its Application to Schema Abstraction 114 J. R. Anderson and P. J. Kline, and C. M. Beasley, Jr 9. Minds, Brains, and Programs 140 J. R. Searle 10. Computing, Machinery, and Intelligence 153 M. Turing Part II The Mind as Neural Network 169 Introduction 171 11. The Perceptron A Probabilistic Model for Information Storage and Organization in the Brian 179 F. Rosenblatt 12. Cognitive Activity in Artificial Neural Networks 198 P. M. Churchland 13. Cooperative Computation of Stereo Disparity 217 D. Marr and T. Poggio 14. On Learning the Past Tenses of English Verbs 225 D. E. Rumelhart and J. L. McClelland 15. Parallel Networks that Learn to Pronounce English Text 259 T. J. Sejnowski and C. R. Rosenberg 16. Connectionism and the Problem of Systematicity Why Smolensky's Solution Won't Work 273 J. A. Fodor and B. P. McLaughlin 17. Connectionism, Constituency, and the Language of Thought 286 P. Smolensky 18. Rules and Connections in Human Language 307 S. Pinker and A. Prince Part III The Mind as Brain 319 Introduction 321 19. The Organization of Behavior 323 D. O. Hebb 20. In Search of the Engram 333 K. Lashley 21. A Logical Calculus of the Ideas Immanent in Nervous Activity 351 W. S. McCulloch and W. H. Pitts 22. Is Consciousness a Brain Process? 361 U. T. Place 23. The Computational Brain: Anatomical and Physiological Techniques 367 P. S. Churchland and T. J. Sejnowski 24. What the Frog's Eye Tells the Frog's Brain 382 J. Y. Lettvin, H. K. Maturana, W. S. McCulloch, and W. H. Pitts 25. Positron Emission Tomographic Studies of the Cortical Anatomy of Single-word Processing 397 S. E. Petersen, P. T. Fox, M. I. Posner, M. Minton, and M. E. Raichle 26. Computational Neuroscience 405 T. J. Sejnowski, C. Koch, and P. S. Churchland 27. Two Cortical Visual Systems 420 L. G. Ungerleider and M. Mishkin Part IV Special Topics 445 Introduction 447 28. Recent Contributions to the Theory of Innate Ideas 452 N. Chomsky 29. The 'Innateness Hypothesis' and the Explanatory Models in Linguistics 458 H. Putnam 30. Linguistics and Philosophy 464 N. Chomsky 31. Initial Knowledge Six Suggestions 484 E. Spelke 32. Precis of the Modularity of Mind 493 J. A. Fodor 33. Eliminative Materialism and the Propositional Attitudes 500 P. M. Churchland 34. The Social Function of Intellect 513 N. Humphrey 35. Origins of Domain Specificity: The Evolution of Functional Organization 523 L. Cosmides and J. Tooby Index 544

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