๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Computers and thought: Edited by Edward A. Feigenbaum and Julian Feldman. AAAI Press, Menlo Park, CA/MIT Press, Cambridge, MA. (1995). 535 pages. $18.00


Book ID
104352993
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
113 KB
Volume
31
Category
Article
ISSN
0898-1221

No coin nor oath required. For personal study only.

โœฆ Synopsis


Introduction. 1. Can a machine think? Computing machinery and intelligence (A.M. Turing). 2. Machines that play games. Chess-playing programs and the problem of complexity (Allen Newell, J.C. Shaw, and H.A. Simon). Some studies in machine learning using the game of checkers (A.L. Samuel). 3. Machines that prove mathematical theorems. Empirical explorations with the logic theory machine: A case study in heuristics (Allen Newell, J.C. Shaw, and H.A. Simon). Realization of a geometry-theorem proving machine (H. Gelernter). Empirical explorations of the geometry-theorem proving machine (H. Gelernter, J.R. Hansen, and D.W. Loveland). 4. Two important applications. Summary of a heuristic line balancing procedure (Fred M. Tonge). A heuristic program that solves symbolic integration problems in freshman calculus (James R. Slagle). 5. Question-answering machines. Baseball: An automatic question answerer (Bert F. Green, Jr., Alice K. Wolf, Carol Chomsky, and Kenneth Laughery). Inferential memory as the basis of machines which understand natural language (Robert K. Lindsay). 6. Pattern recognition. Pattern recognition by machine (Oliver G. Selfridge and Ulric Neisser). A pattern-recognition program that generates, evaluates, and adjusts its own operators (Leonard Uhr and Charles Vossler). II. Simulation of cognitive processes. Introduction. 1. Problem-solving. GPS, a program that simulates human thought (Allen Newell and H.A. Simon). 2. Verbal learning and concept formation. The simulation of verbal learning behavior (Edward A. Feigenbaum). Programming a model of human concept formulation (Earl B. Hunt and Carl I. Hovland). 3. Decision-making under uncertainty. Simulation of behavior in the binary choice experiment (Julian Feldman). A model of the trust investment process (Geoffrey P.E. Clarkson). 4. Social behavior. A computer model of elementary social behavior (John T. Gullahorn and Jeanne E. Gullahorn). III. Survey of approaches and attitudes. Introduction. Attitudes toward intelligent machines (Paul Armer). Steps toward artificial intelligence (Marvin Minsky). IV. Bibliography. A selected descriptor-indexed bibliography to the literature on artificial intelligence (Marvin Minsky). Index.


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