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The RM-CELL: A set of old ideas that produce new results

Published: 01 July 1986 Publication History

Abstract

This paper reports a system with unexpected features. Starting from scratch, it learns to synthesize the function between the input and the output of a black box, which receives N bits and produces one. After being trained with one pass of a random sample of inputs and outputs, the system reproduces the sample completely but, if the sample size is greater than, or equal to some minimum (that depends on the black box function), the system will forecast correctly outside of the learned sample. The system has been tested with functions that range from easy to difficult and it has survived (up to now) all the tests. One of them is here reported.

References

[1]
GREGORY J. CHAITING, RANDOMNESS AND MATHEMATICAL PROOF. SCIENTIFIC AMERICAN MAY 1975 VOL. 232 NUMBER 5
[2]
MICHAEL L. DERTOUZOS, CAMBRIDGE, MASS. MIT PRESS 1965.
[3]
VON WEIZSACKER, C.F., Z. PHYSIK, 96, P. 431, 1935

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Information & Contributors

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Published In

cover image ACM SIGART Bulletin
ACM SIGART Bulletin Just Accepted
July 1986
21 pages
ISSN:0163-5719
DOI:10.1145/15719
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1986
Published in SIGAI , Issue 97

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