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Controlled Self-organisation Using Learning Classifier Systems
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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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Keywords
- controlled self-organisation
- extended learning classifier system
- multi-agent simulation
- observer/controller architecture
- organic computing
Links
DOI: 10.5445/KSP/1000013138Editions