Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems
S.127-138 To govern the abundant complexity of today's IT systems, recently an initiative was started to systematically investigate and use biologically-inspired solution approaches to achieve self-configuring, self-healing, self-optimizing, and self-protection of complex systems. Some recent e...
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ftfrauneprints:oai:publica.fraunhofer.de:publica/351524 2023-05-15T17:53:41+02:00 Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems Großpietsch, K.-E. Silayeva, T. 2006 https://publica.fraunhofer.de/handle/publica/351524 en eng Interdisciplinary Information Management Talks (IDIMT) 2006 IDIMT 2006, 14th Interdisciplinary Information Management Talks https://publica.fraunhofer.de/handle/publica/351524 005 006 629 conference paper 2006 ftfrauneprints 2022-11-01T20:07:25Z S.127-138 To govern the abundant complexity of today's IT systems, recently an initiative was started to systematically investigate and use biologically-inspired solution approaches to achieve self-configuring, self-healing, self-optimizing, and self-protection of complex systems. Some recent examples of the application of these "Organic Computing? principles are described. Then its systematic investigation is discussed in detail by the example of the ORCA architecture for autonomous robots. The use of an adaptive rule set rules for the control of an autonomous robot at the behavioural level is sketched by the example of the gait patterns of a climbing robot. Correspondingly, the application of adaptive filters for the control of that robot at local component level is exemplified. Conference Object Orca Publikationsdatenbank der Fraunhofer-Gesellschaft |
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Publikationsdatenbank der Fraunhofer-Gesellschaft |
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English |
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005 006 629 |
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005 006 629 Großpietsch, K.-E. Silayeva, T. Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems |
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005 006 629 |
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S.127-138 To govern the abundant complexity of today's IT systems, recently an initiative was started to systematically investigate and use biologically-inspired solution approaches to achieve self-configuring, self-healing, self-optimizing, and self-protection of complex systems. Some recent examples of the application of these "Organic Computing? principles are described. Then its systematic investigation is discussed in detail by the example of the ORCA architecture for autonomous robots. The use of an adaptive rule set rules for the control of an autonomous robot at the behavioural level is sketched by the example of the gait patterns of a climbing robot. Correspondingly, the application of adaptive filters for the control of that robot at local component level is exemplified. |
format |
Conference Object |
author |
Großpietsch, K.-E. Silayeva, T. |
author_facet |
Großpietsch, K.-E. Silayeva, T. |
author_sort |
Großpietsch, K.-E. |
title |
Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems |
title_short |
Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems |
title_full |
Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems |
title_fullStr |
Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems |
title_full_unstemmed |
Organic computing - a new paradigm for achieving self-organized dependable behaviour of complex IT systems |
title_sort |
organic computing - a new paradigm for achieving self-organized dependable behaviour of complex it systems |
publishDate |
2006 |
url |
https://publica.fraunhofer.de/handle/publica/351524 |
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Orca |
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Orca |
op_relation |
Interdisciplinary Information Management Talks (IDIMT) 2006 IDIMT 2006, 14th Interdisciplinary Information Management Talks https://publica.fraunhofer.de/handle/publica/351524 |
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1766161394693046272 |