Controlled self-organisation using learning classifier systems

Dublin Core

Title

Controlled self-organisation using learning classifier systems

Subject

Computer science

Description

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.

Creator

Richter, Urban Maximilian

Source

https://www.ksp.kit.edu/9783866444317

Publisher

KIT Scientific Publishing

Date

2009

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Richter, Urban Maximilian, “Controlled self-organisation using learning classifier systems,” Open Educational Resource (OER) - USK Library, accessed February 27, 2024, http://uilis.usk.ac.id/oer/items/show/3147.

Document Viewer