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- Author: Urban Maximilian Richter
- Publisher: Karlsruher Institut für Technologie
- Year: 2014
- Pages: 246
- ISBN-10: 3866444311
- ISBN-13: 9783866444317
- Format: 14.8 x 21 x 1.3 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Controlled self-organisation using learning classifier systems (e-book) (used book) | bookbook.eu
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Description
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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- Author: Urban Maximilian Richter
- Publisher: Karlsruher Institut für Technologie
- Year: 2014
- Pages: 246
- ISBN-10: 3866444311
- ISBN-13: 9783866444317
- Format: 14.8 x 21 x 1.3 cm, softcover
- Language: English English
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.
Reviews