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Urban Maximilian Richter

Controlled self-organisation using learning classifier systems

AutorRichter, Urban Maximilian

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783866444317

UmfangXXV, 218 S.

Veröffentlicht
am:
30.11.2009

Erscheinungs-
jahr
2009

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000013138

Abstract

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.