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Applications of Learning Classifier Systems : Studies in Fuzziness and Soft Computing - Larry Bull

Applications of Learning Classifier Systems

Studies in Fuzziness and Soft Computing

By: Larry Bull (Editor)

Hardcover Published: 16th April 2004
ISBN: 9783540211099
Number Of Pages: 305

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The field called Learning Classifier Systems is populated with romantics. Why shouldn't it be possible for computer programs to adapt, learn, and develop while interacting with their environments? In particular, why not systems that, like organic populations, contain competing, perhaps cooperating, entities evolving together? John Holland was one of the earliest scientists with this vision, at a time when so-called artificial intelligence was in its infancy and mainly concerned with preprogrammed systems that didn't learn. that, like organisms, had sensors, took Instead, Holland envisaged systems actions, and had rich self-generated internal structure and processing. In so doing he foresaw and his work prefigured such present day domains as reinforcement learning and embedded agents that are now displacing the older "standard Af' . One focus was what Holland called "classifier systems": sets of competing rule­ like "classifiers", each a hypothesis as to how best to react to some aspect of the environment--or to another rule. The system embracing such a rule "popu­ lation" would explore its available actions and responses, rewarding and rating the active rules accordingly. Then "good" classifiers would be selected and re­ produced, mutated and even crossed, a la Darwin and genetics, steadily and reliably increasing the system's ability to cope.

Learning classifier systems : a brief introductionp. 1
Data mining using learning classifier systemsp. 15
NXCS experts for financial time series forecastingp. 68
Encouraging compact rulesets from XCS for enhanced data miningp. 92
The fighter aircraft LCS : a real-world, machine innovation applicationp. 113
Traffic balance using learning classifier systems in an agent-based simulationp. 143
A multi-agent model of the UK market in electricity generationp. 167
Exploring organizational-learning oriented classifier systems in real-world problemsp. 182
Distributed routing in communication networks using the temporal fuzzy classifier system : a study on evolutionary multi-agent controlp. 203
The development of an industrial learning classifier system for data-mining in a steel hop strip millp. 223
Application of learning classifier systems to the on-line reconfiguration of electric power distribution networksp. 260
Towards distributed adaptive control for road traffic junction signals using learning classifier systemsp. 276
Bibliography of real-world classifier systems applicationsp. 300
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540211099
ISBN-10: 3540211098
Series: Studies in Fuzziness and Soft Computing
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 305
Published: 16th April 2004
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 2.54
Weight (kg): 1.39