Controlled self-organisation using learning classifier systems
Richter, Urban Maximilian
MetadataShow full item record
Summary in foreign language
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.
Link to resourcehttps://www.ksp.kit.edu/9783866444317
Estadísticas Google Analytics
Respuesta Comentario Repositorio Expeditio
Gracias por tomarse el tiempo para darnos su opinión.