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ATAL
2008
Springer

An adaptive agent model for self-organizing MAS

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An adaptive agent model for self-organizing MAS
Self-organizing multi-agent systems (MAS) use different mechanisms to mimic the adaptation exhibited by complex systems situated in unpredictable and dynamic environments. These mechanisms allow a collection of agents to spontaneously adapt their behavior towards an optimal organization. This paper presents a self-organization approach that exploits several selforganizing principles through an agent adaptive architecture and a reinforcement mechanism. This mechanism was designed and implemented using the INGENIAS methodology. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence
Candelaria Sansores, Juan Pavón
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ATAL
Authors Candelaria Sansores, Juan Pavón
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