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Self-Adaptive Agents for Debugging Multi-Agent Simulations
Örebro University, School of Science and Technology. (Modeling and Simulation Research Center)ORCID iD: 0000-0002-1470-6288
Paul Sabatier University, Toulouse. (Institut de Recherche en Informatique de Toulouse)
2011 (English)In: Proc. of the 3rd ADAPTIVE 2011: The Third International Conference on Adaptive and Self-Adaptive Systems and Applications / [ed] J. Fox and A. Rausch, Xpert Publishing Services, 2011, 79-84 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this contribution, we propose an adaptation-drivenmethodology for the technical design and implementation of multi-agent simulations that is inspired by the concept of "living design". The simulated agents are capable of evaluatingtheir behavior and self-adapt for improving the overall model.For this aim, the modeler describes critical, non valid situations in the life of an agent, or the complete agent system, and explicitly specifies repair knowledge for these situations.

Place, publisher, year, edition, pages
Xpert Publishing Services, 2011. 79-84 p.
Series
ADAPTIVE
Keyword [en]
Multi-Agent Systems, Simulation, Methodology
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-20328ISBN: 978-1-61208-156-4 (print)OAI: oai:DiVA.org:oru-20328DiVA: diva2:455409
Conference
ADAPTIVE 2011
Available from: 2011-11-10 Created: 2011-11-09 Last updated: 2017-10-18Bibliographically approved

Open Access in DiVA

ADAPTIVE2011_KluglBernon(172 kB)229 downloads
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File name FULLTEXT01.pdfFile size 172 kBChecksum SHA-512
eb5bd7e5ceee696b91c322944e3ffd08379a806f2610a524022aa1cf43e82cbb44af53c94e3776ae430df08bb7a178dad5bd840a30ebd2d6b3c5ec3f712449db
Type fulltextMimetype application/pdf

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http://www.thinkmind.org/download.php?articleid=adaptive_2011_4_30_50063

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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Output format
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