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.
Umfang: XXV, 218 S.
Preis: €33.50 | £31.00 | $59.00
These are words or phrases in the text that have been automatically identified by the Named Entity Recognition and Disambiguation service, which provides Wikipedia () and Wikidata () links for these entities.
Richter, U. 2009. Controlled self-organisation using learning classifier systems. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000013138
Dieses Buch ist lizenziert unter Creative Commons Attribution + Noncommercial + NoDerivatives 3.0 DE Dedication
Dieses Buch ist Peer reviewed. Informationen dazu finden Sie hier
Veröffentlicht am 30. November 2009