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Parallelism and programming in classifier systems
1 online resource (213 pages) : illustrations
Parallelism and Programming in Classifier Systems deals with the computational properties of the underlying parallel machine, including computational completeness, programming and representation techniques, and efficiency of algorithms. In particular, efficient classifier system implementations of symbolic data structures and reasoning procedures are presented and analyzed in detail.
Front Cover; Parallelism and Programming in Classifier Systems; Copyright Page; Table of Contents; List of Figures; List of Appendices; Preface; Dedication; Chapter 1. Introduction; 1.1 Parallelism and Classifier Systems; 1.2 Classification and KL-ONE; 1.3 Subsymbolic Models of Intelligence; 1.4 Overview; Chapter 2. Background Information; 2.1 Parallelism; 2.2 Classifier Systems; 2.3 KL-ONE; 2.4 Summary; Chapter 3. Approach; 3.1 Implementation; 3.2 Evaluation; 3.3 Summary; Chapter 4. Classifier Systems; 4.1 Computational Properties of Classifier Systems; 4.2 Classifier System Algorithms.
4.3 SummaryChapter 5. Classifier System Implementation of KL-ONE; 5.1 Representation; 5.2 Algorithms; 5.3 Summary; Chapter 6 Analysis of Results; 6.1 Time of Computation; 6.2 Number and Size of Processors; 6.3 Inter-Processor Communication; 6.4 Comparison with Sequential Algorithm; 6.5 Computational Tradeoffs; 6.6 Summary of Results; Chapter 7. Conclusions; 7.1 Classifer Systems; 7.2 KL-ONE; 7.3 Parallelism; APPENDICES: Backus Normal Form Description of Input Language; Bibliography.
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Includes bibliographical references (pages 207-213).
Parallel processing (Electronic computers)
London : Pitman ; San Mateo, Calif. : Morgan Kaufmann Publishers, 1991
Research notes in artificial intelligence (London, England)