Controlled self-organisation using learning classifier systems

Controlled self-organisation using learning classifier systems

Computer science

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.

Richter, Urban Maximilian

https://www.ksp.kit.edu/9783866444317

KIT Scientific Publishing

2009

Baihaqi

Creative Commons

PDF

English

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