Controlled self-organisation using learning classifier systems
Material type:![Article](/opac-tmpl/lib/famfamfam/AR.png)
- KSP/1000013138
- 9783866444317
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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.
Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/
English
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