Controlled self-organisation using learning classifier systems

• Autore: Richter Urban Maximilian
• Pubblicazione: KIT Scientific Publishing, 2009
• Descrizione fisica: 1 electronic resource (XXV, 218 p. p.)
• Soggetto non controllato: organic computing; multi-agent simulation; controlled self-organisation; observer/controller architecture; extended learning classifier system
• Sommario/riassunto: 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.
• Titolo autorizzato: Controlled self-organisation using learning classifier systems
• ISBN: 1-000-01313-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346920203321
• Lo trovi qui: Univ. Federico II