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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Year of Publication:2009
Language:English
Physical Description:1 electronic resource (XXV, 218 p. p.)
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spelling Richter, Urban Maximilian auth
Controlled self-organisation using learning classifier systems
KIT Scientific Publishing 2009
1 electronic resource (XXV, 218 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
organic computing
multi-agent simulation
controlled self-organisation
observer/controller architecture
extended learning classifier system
3-86644-431-1
language English
format eBook
author Richter, Urban Maximilian
spellingShingle Richter, Urban Maximilian
Controlled self-organisation using learning classifier systems
author_facet Richter, Urban Maximilian
author_variant u m r um umr
author_sort Richter, Urban Maximilian
title Controlled self-organisation using learning classifier systems
title_full Controlled self-organisation using learning classifier systems
title_fullStr Controlled self-organisation using learning classifier systems
title_full_unstemmed Controlled self-organisation using learning classifier systems
title_auth Controlled self-organisation using learning classifier systems
title_new Controlled self-organisation using learning classifier systems
title_sort controlled self-organisation using learning classifier systems
publisher KIT Scientific Publishing
publishDate 2009
physical 1 electronic resource (XXV, 218 p. p.)
isbn 1-000-01313-8
3-86644-431-1
illustrated Not Illustrated
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is_hierarchy_title Controlled self-organisation using learning classifier systems
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