| Computer science as empirical inquiry: symbols and search |
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Communications of the ACM
archive
Volume 19 , Issue 3 (March 1976)
table of contents
Pages: 113 - 126
Year of Publication: 1976
ISSN:0001-0782
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| Bibliometrics |
Downloads (6 Weeks): 145, Downloads (12 Months): 395, Citation Count: 75
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ABSTRACT
Computer science is the study of the phenomena surrounding computers. The founders of this society understood this very well when they called themselves the Association for Computing Machinery. The machine—not just the hardware, but the programmed, living machine—is the organism we study.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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McCulloch, W.S. {1961}. What is a number, that a man may know it, and a man, that he may know a number. General Semantics Bulletin Nos. 26 and 27 (1961), 7-18.
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Turing, A.M. {1950}. Computing machinery and intelligence. Mind 59 (Oct. 1950), 433-460.
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CITED BY 74
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Dnyanesh Rajpathak , Enrico Motta , Zdenek Zdrahal , Rajkumar Roy, A generic library of problem solving methods for scheduling applications, Proceedings of the 2nd international conference on Knowledge capture, October 23-25, 2003, Sanibel Island, FL, USA
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Sam Scholes , Matt Wilson , Ana B. Sendova-Franks , Chris Melhuish, Comparisons in Evolution and Engineering: The Collective Intelligence of Sorting, Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, v.12 n.3-4, p.147-159, September-December 2004
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Christopher G. Prince, Rodney A. Brooks,Cambrian Intelligence: The Early History of the New AI, Cambridge, MA: MIT Press, 1999, xii + 199 pp., $21.56 (paper), ISBN 0-262-52263-2., Minds and Machines, v.12 n.1, p.145-151, February 2002
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INDEX TERMS
Keywords:
Turing,
artificial intelligence,
cognition,
computer science,
empirical,
heuristics,
list processing,
problem solving,
science,
search,
symbols
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