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 architect...
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| Format: | Book Chapter |
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KIT Scientific Publishing
2009
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| Summary: | 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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| Physical Description: | 1 electronic resource (XXV, 218 p. p.) |
| ISBN: | KSP/1000013138 9783866444317 |
| Access: | Open Access |