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Controlled self-organisation using learning classifier systems

Controlled self-organisation using learning classifier systems

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Controlled self-organisation using learning classifier systems

by Richter, Urban M:

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  • Paperback
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About This Item

KIT Scientific Publishing, 40147. Very Good. 8¡ Paperback. 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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Bookseller
Versand-Antiquariat Konrad von Agris DE (DE)
Bookseller's Inventory #
834995
Title
Controlled self-organisation using learning classifier systems
Author
Richter, Urban M:
Book Condition
Used - Very Good
Quantity Available
2
Binding
Paperback
Publisher
KIT Scientific Publishing
Date Published
40147
Pages
218 S.
Size
8¡ Paperback
Weight
0.99 lbs
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Versand-Antiquariat Konrad von Agris

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