Controlled self-organisation using learning classifier systems

Controlled self-organisation using learning classifier systems

by RICHTER, URBAN MAXIMILIAN

Type Book
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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.

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Title Statements

  • Full title :Controlled self-organisation using learning classifier systems.

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.

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Edition Statements

  • Publication Date:2009

Publication Statements

  • Publisher(s):KIT Scientific Publishing
  • Place of Publication:Erscheinungsort nicht ermittelbar
  • Language:und
  • Publication Date:2009

The Physical Object

  • Description:1 Online-Ressource (1 electronic resource (XXV, 218 p. p.))

Edition Identifiers

  • ISBN:9783866444317, 3866444311
  • oclc:on1193077501
  • Dewey Decimal:006.31

Subjects

Electronic computers. Computer science

Writers

RICHTER, URBAN MAXIMILIAN

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