Adaptive computing system

Details Adaptive computing system Adaptive computing system

1988-06-10

1990-10-02

Smith, Jerry

Boots, shoes, and leggings

364274, 364916, 364972, 3642211, 364200, 364900, G06F 1518, G05B 1300

Patent

active

049611526

ABSTRACT:
The adaptive computing system disclosed herein employs a data structure involving a multiplicity of classifiers, each of which includes a match string of characters which the system attempts to match up with messages generated either by the environment or by other classifiers. Associated with each match string is a response message definer or action part which defines the response to be given when a match is obtained. To facilitate matching in a noisy or changing environment, there is associated with each character in the match string a weighting value and the degree of match is judged by means of a score value which is a function of the weighting values of the characters which match between the match string and the message.

REFERENCES:
patent: 4697242 (1987-09-01), Holland et al.
patent: 4821333 (1989-04-01), Gillies
"Classifier System Learning of a Boolean Function", Stewart W. Wilson, The Rowland Institute for Science, Research Memo RIS No. 27R, 2/9/86.
"Knowledge Growth in an Artificial Animal", Stewart W. Wilson, Rowland Institute for Science.
"Classifier Systems and the Animal Problem", Stewart W. Wilson, The Rowland Institute for Science.
"A critical Review of Genetic Algorithms", J. David Schaffer and John J. Grefenstette.
"Improving the Performance of Genetic Algorithms in Classifier Systems", L. B. Booker, Proc.
Intern. Conf. on Gen. Alg. and their Appl. Pittsburg, PA, Jul. 1985, pp. 80-92.
"Classifier Systems with Hamming Weights", L. Davis and D. K. Young, 3-31-88, pp. 1-12.

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