CLASSIFIER SYSTEM: A COMPUTATIONAL MODEL THAT SUPPORTS MACHINE INTELLIGENCE.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The Classifier System is a parallel computational model that supports two important aspects of machine intelligence: machine learning algorithms and operations on high-level knowledge structures such as those frequently used in artificial intelligence research. The Classifier System formalism is presented and previous research using the Classifier System in conjunction with two learning algorithms is reviewed. A Classifier System implementation of the knowledge representation language KL-ONE is described, along with analytical results that show that the implementation exploits the parallelism of the Classifier System.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Parallel Processing
EditorsKai Hwang, Steven M. Jacobs, Earl E. Swartzlander
PublisherIEEE
Pages711-716
Number of pages6
ISBN (Print)0818607246
StatePublished - Dec 1 1986
Externally publishedYes

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918

ASJC Scopus subject areas

  • Hardware and Architecture

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  • Cite this

    Forrest, S. (1986). CLASSIFIER SYSTEM: A COMPUTATIONAL MODEL THAT SUPPORTS MACHINE INTELLIGENCE. In K. Hwang, S. M. Jacobs, & E. E. Swartzlander (Eds.), Proceedings of the International Conference on Parallel Processing (pp. 711-716). (Proceedings of the International Conference on Parallel Processing). IEEE.