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Agent learning instead of behavior implementation for simulations: a case study using classifier systems
Örebro University, School of Science and Technology. (Modeling and Simulation Research Center)ORCID iD: 0000-0002-1470-6288
University of Würzburg. (Dep. of Artificial Intelligence)
University of Würzburg. (Dept. of Psychology)
2008 (English)In: Multiagent System Technologies / [ed] Ralph Bergmann, Gabriela Lindemann, Stefan Kirn, Michal Pechoucek, Berlin: Springer , 2008, p. 111-122Conference paper, Published paper (Refereed)
Abstract [en]

Although multi-agent simulations are an intuitive way of conceptualizing systems that consist of autonomous actors, a major problem is the actual design of the agent behavior. In this contribution, we examine the potential of using agent-based learning for implementing the agent behavior. We enhanced SeSAm, a platform for agent-based simulation, by replacing the usual rule-based agent architecture by XCS, a well-known learning classifier system (LCS). The resulting model is tested using a simple evacuation scenario. The results show that on the one hand side plausible agent behavior could be learned. On the other hand side, though, the results are quite brittle concerning the frame of environmental feedback, perception and action modeling.

Place, publisher, year, edition, pages
Berlin: Springer , 2008. p. 111-122
Series
Lecture notes in computer science ; 5244
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-5248DOI: 10.1007/978-3-540-87805-6_11ISBN: 978-3-540-87804-9 (print)OAI: oai:DiVA.org:oru-5248DiVA, id: diva2:158354
Conference
6th German Conference, MATES 2008, Kaiserslautern, Germany, September 23-26, 2008
Available from: 2009-02-02 Created: 2009-02-02 Last updated: 2018-01-13Bibliographically approved

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Klügl, Franziska

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf