Computers and thought
Computers and Thought showcases the work of the scientists who not only defined the field of Artificial Intelligence, but who are responsible for having developed it into what it is today. Originally published in 1963, this collection includes twenty classic papers by such pioneers as A. M. Turing and Marvin Minsky who were behind the pivotal advances in artificially simulating human thought processes with computers.
Among the now hard-to-find articles are reports of computer programs that play chess and checkers, prove theorems in logic and geometry, solve problems in calculus, balance assembly lines, recognize visual temporal patterns, and communicate in natural language. The reports of simulation of cognitive processes include computer models of human behavior in logic problems, deciding on common stock portfolios, and carrying out social interaction. Models of verbal learning behavior, predictive behavior in two-choice experiments, and concept formation are also included.
Articles by: Paul Armer. Carol Chomsky. Geoffrey P. E. Clarkson. Edward A. Feigenbaum. Julian Feldman. H. Gelernter. Bert F. Green, Jr. John T. Gullahorn. Jeanne E. Gullahorn. J. R. Hansen. Carl I. Hovland. Earl B. Hunt. Kenneth Laughery. Robert K. Lindsay. D. W. Loveland. Marvin Minsky. Ulric Neisser. Allen Newell. A. L. Samuel. Oliver G. Selfridge. J. C. Shaw. Herbert A. Simon. James R. Slagle. Fred M. Tonge. A. M. Turing. Leonard Uhr. Charles Vossler. Alice K. Wolf.
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Can a Machine Think?
Machines That Play Games
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algorithm alternative analysis angle answer applied artificial intelligence associated axioms basic behavior board position British Museum algorithm chess complex component concept concept learning considered construct continue the progression decision defined described diagram digital computer elements EPAM evaluation example experiment Figure function Gelernter geometry given goal heuristic heuristic program human hypothesis for trial implies information processing Information Processing Language input investment JOHNNIAC language learning Lincoln Laboratory line balancing logic Logic Theorist Logic Theory Machine matching mathematical McCulloch mechanism memory methods minimaxing Minsky move Newell operators parameter pattern recognition play possible prediction problem problem-solving procedure proof prove question recursive response rote learning routine rules segment selection Selfridge sequence Shaw Simon simulation solution solving specific stimulus structure subgoals subproblems subroutines symbol task theorems theory tion words