Controlled self-organisation using learning classifier systems
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 architect...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16662
- Palabra clave:
- Informática
Sistema de clasificación del aprendizaje extendido
Simulación de múltiples agentes
Informática orgánica
Controlled self-organisation
- Rights
- License
- Abierto (Texto Completo)
| Summary: | 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. |
|---|