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Controlled self-organisation: Using learning classifier systems PDF

248 Pages·2009·15.042 MB·English
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by Urban M. Richter| 2009| 248 pages| 15.042| English

About 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.

Detailed Information

Author:Urban M. Richter
Publication Year:2009
ISBN:9783866444317
Pages:248
Language:English
File Size:15.042
Format:PDF
Price:FREE
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