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portada Controlled Self-Organisation Using Learning Classifier Systems
Type
Physical Book
Language
English
Pages
248
Format
Paperback
ISBN13
9783866444317

Controlled Self-Organisation Using Learning Classifier Systems

Urban Maximilian Richter (Author) · Kit Scientific Publishing · Paperback

Controlled Self-Organisation Using Learning Classifier Systems - Urban Maximilian Richter

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Synopsis "Controlled Self-Organisation Using Learning Classifier Systems"

The complexity of technical systems increases, breakdowns occur quite often. The mission of organic computing is to tame these challenges by providing degrees of freedom for self-organised behaviour. To achieve these goals, new methods have to be developed. The proposed observer/controller architecture constitutes one way to achieve controlled self-organisation. To improve its design, multi-agent scenarios are investigated. Especially, learning using learning classifier systems is addressed.

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