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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| Formaat: | Online |
| Taal: | Engels |
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KIT Scientific Publishing
2021
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| Online toegang: | 34977 |
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| _version_ | 1869530285420314624 |
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| author | Richter, Urban Maximilian |
| author_browse | Richter, Urban Maximilian |
| author_facet | Richter, Urban Maximilian |
| author_sort | Richter, Urban Maximilian |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-44037 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-440372023-12-20T18:40:52Z Controlled self-organisation using learning classifier systems Richter, Urban Maximilian QA75.5-76.95 organic computing multi-agent simulation controlled self-organisation observer/controller architecture extended learning classifier system bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-11T10:34:58Z 2021-02-11T10:34:58Z 2019-07-30 20:01:59 2009 book 34977 9783866444317 https://directory.doabooks.org/handle/20.500.12854/44037 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866444317 KIT Scientific Publishing 10.5445/KSP/1000013138 10.5445/KSP/1000013138 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866444317 XXV, 218 p. open access |
| spellingShingle | QA75.5-76.95 organic computing multi-agent simulation controlled self-organisation observer/controller architecture extended learning classifier system bic Book Industry Communication::U Computing & information technology::UY Computer science Richter, Urban Maximilian Controlled self-organisation using learning classifier systems |
| 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_short | Controlled self-organisation using learning classifier systems |
| title_sort | controlled self organisation using learning classifier systems |
| topic | QA75.5-76.95 organic computing multi-agent simulation controlled self-organisation observer/controller architecture extended learning classifier system bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 organic computing multi-agent simulation controlled self-organisation observer/controller architecture extended learning classifier system bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34977 |
| work_keys_str_mv | AT richterurbanmaximilian controlledselforganisationusinglearningclassifiersystems |