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Bulletin of the American Mathematical Society

The Bulletin publishes expository articles on contemporary mathematical research, written in a way that gives insight to mathematicians who may not be experts in the particular topic. The Bulletin also publishes reviews of selected books in mathematics and short articles in the Mathematical Perspectives section, both by invitation only.

ISSN 1088-9485 (online) ISSN 0273-0979 (print)

The 2020 MCQ for Bulletin of the American Mathematical Society is 0.84.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

Computer modeling of scientific and mathematical discovery processes
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by Herbert A. Simon PDF
Bull. Amer. Math. Soc. 11 (1984), 247-262
References
    A. Barr and E. A. Feigenbaum (Editors), Handbook of artificial intelligence, Vol. 1, Kaufmann, Los Altos, Calif., 1981. G. Bradshaw, P. Langley and H. A Simon, BACON.4. The discovery of intrinsic properties, Proc. Third National Conf. Canad. Soc. Computational Studies of Intelligence, 1980, pp. 19-25. G. Bradshaw, P. Langley and H. A Simon, Studying scientific discovery by computer simulation, Science 222 (1983), 971-975.
  • Stephen Cole Kleene, Introduction to metamathematics, D. Van Nostrand Co., Inc., New York, N. Y., 1952. MR 0051790
  • K. Kotovsky and H. A. Simon, Empirical tests of a theory of human acquisition of concepts for sequential patterns, Cognitive Psychology 4 (1973), 399-424.
  • Thomas S. Kühn, Black-body theory and the quantum discontinuity, 1894–1912, The Clarendon Press, Oxford University Press, New York, 1978. MR 571012
  • P. W. Langley, Rediscovering physics with BACON. 3, Proc. Sixth Internat. Joint Conf. Artificial Intelligence, Vol. 1, Tokyo, 1979, pp. 505-507. P. W. Langley, G. L. Bradshaw and H. A. Simon, Rediscovering chemistry with the BACON system, Machine Learning, An Artificial Intelligence Approach (R. S. Michalski, J. G. Carbonell and T. M. Mitchell, eds.), Tioga, Palo Alto, Calif., 1983. P. W. Langley et al., Mechanisms for qualitative and quantitative discovery, Proc. Internat. Machine Learning Workshop (Urbana), Univ. of Illinois, 1983, pp. 121-132. J. Larkin et al., Expert and novice performance in solving physics problems, Science 208 (1980), 1335-1342. D. B. Lenat, Automated theory formation in mathematics, Proc. Fifth Internat. Joint Conf. Artificial Intelligence, 1977, pp. 833-842. D. B. Lenat, EURISKO: A program that learns new heuristics and domain concepts, Search and Heuristics (J. Pearl, ed.), North-Holland, 1983.
  • Abraham Pais, “Subtle is the Lord...”, The Clarendon Press, Oxford University Press, New York, 1982. The science and life of Albert Einstein. MR 690419
  • H. A. Simon, Models of thought, Yale Univ. Press, New Haven, Conn., 1979. H. A. Simon and K. Kotovsky, Human acquisition of concepts for sequential patterns, Psychological Rev. 70 (1963), 534-536. H. A. Simon, P. Langley and G. Bradshaw, Scientific discovery as problem solving, Synthese 47 (1981), 1-27.
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Additional Information
  • Journal: Bull. Amer. Math. Soc. 11 (1984), 247-262
  • MSC (1980): Primary 00A25
  • DOI: https://doi.org/10.1090/S0273-0979-1984-15288-1
  • MathSciNet review: 752787