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Controlled Self-Organisation Using Learning Classifier Systems By Urban M. Richter PDF eBook

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Buy!Download Size: 61.67 MB

Urban M. Richter
2009
248 Pages
ISBN: 3866444311
PDF
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.


Controlled Self-Organisation Using Learning Classifier Systems By Urban M. Richter PDF eBook

1$
Buy!Download Size: 61.67 MB


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