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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Controlled selforganisation using learning classifier systems
Published by
Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3866444311
ISBN 13: 9783866444317
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Controlled selforganisation using learning classifier systems
Published by
Karlsruher Institut f?r Technologie, 2014
ISBN 10: 3866444311
ISBN 13: 9783866444317
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Controlled self-organisation using learning classifier systems
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Controlled self-organisation using learning classifier systems
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Controlled self-organisation using learning classifier systems
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Karlsruher Institut Für Technologie Nov 2009, 2009
ISBN 10: 3866444311
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. Seller Inventory # 9783866444317
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Controlled self-organisation using learning classifier systems
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Seller Inventory # 5587834
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Controlled self-organisation using learning classifier systems
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 244 pp. Englisch. Seller Inventory # 9783866444317
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Controlled self-organisation using learning classifier systems
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ISBN 10: 3866444311
ISBN 13: 9783866444317
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783866444317
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Controlled self-organisation using learning classifier systems
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ISBN 10: 3866444311
ISBN 13: 9783866444317
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Taschenbuch. Condition: Neu. Controlled self-organisation using learning classifier systems | Urban Maximilian Richter | Taschenbuch | 244 S. | Englisch | 2014 | Karlsruher Institut für Technologie | EAN 9783866444317 | Verantwortliche Person für die EU: Karlsruher Institut für Technologie (KIT), Institut AIFB, Kaiserstr. 89, 76133 Karlsruhe, verlag[at]aifb[dot]uni-karlsruhe[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 105173383
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