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...
| Main Authors: | , |
|---|---|
| Format: | Conference Object |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | https://publica.fraunhofer.de/handle/publica/351524 |
| Summary: | 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. |
|---|