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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.

 

Book Review

The AMS does not provide abstracts of book reviews. You may download the entire review from the links below.


MathSciNet review: 1567163
Full text of review: PDF   This review is available free of charge.
Book Information:

Authors: P. Hĭjek and T. Havrĭnek
Title: Mechanizing hypothesis formation. Mathematical foundations for a general theory
Additional book information: Universitext, Springer-Verlag, Berlin-Heidelberg-New York, 1978, xv + 396 pp., $24.00.

References [Enhancements On Off] (What's this?)

1.
M. A. Boden, Artificial intelligence and natural man, Basic Books, New York, 1977.
2.
G. E. P. Box and N. R. Draper, Evolutionary operation, Wiley, New York, 1969.
  • Rudolf Carnap, Introduction to symbolic logic and its applications, Dover Publications, Inc., New York, 1959. Translated by W. H. Meyer and J. Wilkinson. MR 0103814
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    L. J. Fogel, A. J. Owens and M. J. Walsh, Artificial intelligence through simulated evolution, Wiley, New York, 1966.
  • I. J. Good, Could a machine make probability judgments? I, II, Computers and Automation 8 (1958), 14–16, 24–26. MR 101639
  • I. J. Good, Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables, Ann. Math. Statist. 34 (1963), 911–934. MR 150880, DOI 10.1214/aoms/1177704014
  • 7.
    I. J. Good, A five-year plan for automatic chess, Machine Intelligence 2, (E. Dale and D. Michie, eds.), Oliver and Boyd, Edinburgh, 1968, pp. 89-118.
    8.
    I. J. Good, Creativity and duality in perception and recall, I.E.E./N.P.L. Conference on Pattern Recognition, July 1968 (Institution of Electrical Engineers), London, 1968, pp. 228-237.
    9.
    I. J. Good, Summing up of the discussion on inductive inference, Machine Intelligence 8 (E. W. Elcock and D. Michie, eds.), Halsted Press, New York, 1977, pp. 205-206.
  • John H. Holland, Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, Mich., 1975. An introductory analysis with applications to biology, control, and artificial intelligence. MR 0441393
  • E. T. Jaynes, Information theory and statistical mechanics, Phys. Rev. (2) 106 (1957), 620–630. MR 87305
  • 12.
    W. Leinfellner, Struktur und Aufbau mssenschäftlicher Theorien, Physica-Verlag, Vienna, 1965.
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    Mathematical Society of Japan, Encyclopedic dictionary of mathematics (English transl.), MIT Press, Cambridge, Mass., 1977.
  • E. W. Elcock and Donald Michie (eds.), Machine intelligence. Vol. 8, Ellis Horwood Ltd., Chichester; Halsted Press [John Wiley & Sons, Inc.], New York-London-Sydney, 1977. MR 0471482
  • 15.
    M. Polanyi, Personal knowledge, Routledge and Kegan Paul, London, 1958.
  • Karl R. Popper, The logic of scientific discovery, Hutchinson & Co., Ltd., London, 1959. MR 0107593
  • Anthony Ralston and Chester L. Meek (eds.), Encyclopedia of computer science, Petrocelli/Charter, New York, 1976. MR 0441621
  • A. L. Samuel, Some studies in machine learning using the game of checkers, IBM J. Res. Develop. 3 (1959), 211–229. (2 inserts). MR 111173, DOI 10.1147/rd.33.0210
  • Claude E. Shannon, Programming a computer for playing chess, Philos. Mag. (7) 41 (1950), 256–275. MR 34095
  • Patrick Henry Winston, Artificial intelligence, Addison-Wesley Series in Computer Science, Addison-Wesley Publishing Co., Reading, Mass.-London-Amsterdam, 1977. MR 0664438
  • 21.
    J. Woodger, The axiomatic method in biology, Cambridge Univ. Press, London and New York 1937.

    Review Information:

    Reviewer: I. J. Good
    Journal: Bull. Amer. Math. Soc. 1 (1979), 650-654
    DOI: https://doi.org/10.1090/S0273-0979-1979-14650-0