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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(CKB)4920000000101320 (oapen)https://directory.doabooks.org/handle/20.500.12854/44037 (EXLCZ)994920000000101320 |
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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 |
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eBook |
author |
Richter, Urban Maximilian |
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Richter, Urban Maximilian Controlled self-organisation using learning classifier systems |
author_facet |
Richter, Urban Maximilian |
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u m r um umr |
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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 |
work_keys_str_mv |
AT richterurbanmaximilian controlledselforganisationusinglearningclassifiersystems |
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(CKB)4920000000101320 (oapen)https://directory.doabooks.org/handle/20.500.12854/44037 (EXLCZ)994920000000101320 |
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Controlled self-organisation using learning classifier systems |
_version_ |
1796652236170854401 |
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