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The Processes of Creative Thinking

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"We ask first whether we need a theory of creative thinking distinct from a theory of problem solving. Subject to minor qualifications, we conclude there is no such need -- that we call problem solving creative when the problems solved are relatively new and difficult. Next, we summarize what has been learned about problem solving by simulating certain human problem solving processes with digital computers. Finally, we indicate some of the differences in degreee that might be observed in comparing relatively creative with relative routine problem solving."RAND Corporation Paper P-1320, Santa Monica, Calif


Computer vs chess player

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Paul G. Allen was an investor and philanthropist. He created and advanced world-class projects and high-impact initiatives that changed and improved the way people live, learn, work, and experience the world through arts, education, entertainment, sports, business, and technology. He cofounded Microsoft with Bill Gates in 1975 and remained the company's chief technologist until he left Microsoft in 1983. Allen founded Vulcan Inc. in 1986 and the Experience Music Project, now the Museum of Pop Culture, in 2000. With lifetime giving of about $1 billion, Allen was named one of the top philanthropists in America.



Dynamic Programming

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The Dawn of Dynamic Programming Richard E. Bellman (1920–1984) is best known for the invention of dynamic programming in the 1950s. During his amazingly prolific career, based primarily at The University of Southern California, he published 39 books (several of which were reprinted by Dover, including Dynamic Programming, 42809-5, 2003) and 619 papers. Despite battling the crippling effects of a brain injury, he still published 100 papers during the last eleven years of his life. He was a frequent informal advisor to Dover during the 1960s and 1970s. Professor Bellman was awarded the IEEE Medal of Honor in 1979 "for contributions to decision processes and control system theory, particularly the creation and application of dynamic programming."


Appendix on Can machines think?

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Between 1946 and 1956, a number of BBC radio broadcasts were made by pioneers in the fields of computing, artificial intelligence and cybernetics. Although no sound recordings of the broadcasts survive, transcripts are held at the BBC's Written Archives Centre at Caversham in the UK. This paper is based on a study of these transcripts, which have received little attention from historians. The paper surveys the range of computer-related broadcasts during 1946-1956 and discusses some recurring themes from the broadcasts, especially the relationship of'artificial intelligence' to human intelligence.


The Chess Machine: An Example of Dealing with a Complex Task by Adaptation

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"The modern general-purpose computer can be characterized as the embodiment of a three-point philosophy: (1) There shall exist a way of computing anything computable; (2) The computer shall be so fast that it does not matter how complicated the way is; and (3) Man shall be so intelligent that he will be able to discern the way and instruct the computer." Proceedings of the 1955 Western Joint Computer Conference, Institute of Radio Engineers, New York, pp 101-108, 1955. (Also issued as RAND Technical Report P-620.)


Robot chess

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Mechanical Chess Player

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I don't say "beat" its designer; I say Let us assume that the machine cannot analyze the position right out and that it must make judgments. The problem, then, becomes that the machine must form its own criteria for judgment, and, if it is to beat its designer, it must form better judgments than the designer can put into it. Can we build such a machine? The problem that faces the designer is the same as that of the father who is not a good chess player and who wants his son to become world champion. Obviously, he must be very careful about what he teaches the boy.


Investigations on Synaptic Transmission

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' This work was done in collaboration with Drs. But it is attenuated because the electrode computes a weighted average over a volume of a function whose own average is zero. To this external medium, the nerve appears to produce, absorb, then produce current when a spike passes; from this probe's standpoint of view, the impulse is a source, followed by sink, followed by source. Their algebraic sum in time is zero, unless the impulse stops either at the electrode or short of it. In the former case, the preceding source is averaged with the initial part of the sink, but the stationary decaying sink is recorded as a large negative potential with respect to a remote electrode.


A machine that learns

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It was named M achina speculatrix. "conditioned reflexes" brought the study The conditioned, 01' neutral, stimulus to which In M spheri-latrix we had:1 reflex. MACHINA SPECULATRIX, photographed by time cx-POSUI'E, is attracted by light in hutch at right. CONDITIONED REFLEX requires this arrangement of nerve cells. With this arrangement the model is reasonably docile.