Screen LibraryParallelism and programming in classifier systems /
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 s...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
Pitman ; Morgan Kaufmann Publishers,
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| Publisher Address: | London : San Mateo, Calif. : |
| Publication Dates: | 1991. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Research notes in artificial intelligence,
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| Subjects: | |
| Online Access: |
http://www.sciencedirect.com/science/book/9780080513553 |
| Summary: |
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. |
| Carrier Form: | 1 online resource (213 pages) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 207-213). |
| ISBN: |
9780080513553 0080513557 9781322465524 1322465525 |
| Index Number: | QA76 |
| CLC: | TP18 |
| Contents: |
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. |