Minds, Brains, and Computers: An Historical Introduction to the Foundations of Cognitive Science / Edition 1

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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.

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Editorial Reviews

From the Publisher
"This anthology features papers that are historically important to cognitive science, giving about equal billing to symbolic, connectionist, and neuroscience viewpoints. Although the papers convey some key findings, their strong point is clarifying assumptions that underlie these three perspectives. Students will find this a valuable sourcebook for the major research traditions." Lance Rips, Northwestern University
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Product Details

  • ISBN-13: 9781557868770
  • Publisher: Wiley
  • Publication date: 2/11/2000
  • Series: Blackwell Philosophy Anthologies Series
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 564
  • Sales rank: 953,232
  • Product dimensions: 6.80 (w) x 9.70 (h) x 1.20 (d)

Meet the Author

Robert Cummins is Professor of Philosophy at the Universityof California, Davis. He is the author of The Nature ofPsychological Explanation (1983), Meaning and MentalRepresentation (1987), and Representations, Targets andAttitudes (1996), as well as many articles and several editedvolumes. He specializes in the foundations of cognitive science andthe nature of mental representation.

Denise D. Cummins is Associate Research Professor ofSocial Sciences at the University of California, Davis. She is theauthor of The Other Side of Psychology (1995), TheEvolution of Mind (ed. with Colin Allen), and HumanReasoning: an Evolutionary Perspective as well as numerousarticles and reviews. She specializes in higher cognition from anevolutionary perspective.

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Table of Contents


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. Fodor.

5. 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 SchemaAbstraction: 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 InformationStorage 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: WhySmolensky'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 NervousActivity: 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 CorticalAnatomy 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 inLinguistics: H. Putnam.

30. Linguistics and Philosophy: N. Chomsky.

31. Initial Knowledge: Six Suggestions: E. Spelke.

32. Précis 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 FunctionalOrganization: L. Cosmides and J. Tooby.


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