Minds, Brains, and Computers: An Historical Introduction to the Foundations of Cognitive Science / Edition 1 available in Paperback
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.
About the Author
Robert Cummins is Professor of Philosophy at the University of California, Davis. He is the author of The Nature of Psychological Explanation (1983), Meaning and Mental Representation (1987), and Representations, Targets and Attitudes (1996), as well as many articles and several edited volumes. He specializes in the foundations of cognitive science and the nature of mental representation.
Denise D. Cummins is Associate Research Professor of Social Sciences at the University of California, Davis. She is the author of The Other Side of Psychology (1995), The Evolution of Mind (ed. with Colin Allen), and Human Reasoning: an Evolutionary Perspective as well as numerous articles and reviews. She specializes in higher cognition from an evolutionary perspective.
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 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. 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 Functional Organization: L. Cosmides and J. Tooby.