Controlled Self-Organisation Using Learning Classifier Systems

✍ Scribed by Urban Maximilian Richter

Publisher: KIT Scientific Publishing
Year: 2009
Tongue: English
Leaves: 248
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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