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Some experiments in machine learning

Published:03 March 1959Publication History

ABSTRACT

Ever since the development of automatic sequence computers it has been possible for the machine to modify its own instructions, and this ability is the greatest single faculty in the complex that tempts the term "giant brain." Friedberg demonstrated a new technique in the modification of instructions; he allowed the machine to make alterations at "random," and lent direction to the maneuver by monitoring the result. This technique is far from being a feasible way to program a computer, for it took several hundred thousand errors before the first successful trial, and this was for one of the simplest tasks he could imagine. A simple principle of probabilities shows that a task compounded of two tasks of this same complexity would take several hundred thousand times as long, perhaps a million computer hours. It is the object of this study to examine techniques for abbreviating this process.

References

  1. fr1 R. M. Friedberg, "A learning machine," pt. I, IBM J. Res. and Dev., vol. 2, p. 2; January, 1958.Google ScholarGoogle Scholar
  2. fr2 A. G. Oettinger, "Programming a digital computer to learn," Phil. Mag., vol. 43, pp. 1243-1263; December, 1952.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    IRE-AIEE-ACM '59 (Western): Papers presented at the the March 3-5, 1959, western joint computer conference
    March 1959
    391 pages
    ISBN:9781450378659
    DOI:10.1145/1457838
    • Conference Chair:
    • R. R. Johnson

    Copyright © 1959 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 3 March 1959

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