Controlled self-organisation using learning classifier systems

By: Urban Maximilian Richter

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Paperback | 13 August 2014

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246 Pages

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21.01 x 14.81 x 1.32

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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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