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

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: Candelaria Sansores, Juan Pavón
• Keywords: Artificial Intelligence, ATAL 2008, Intelligent Agents, Multi-agent Systems, Self-organizing Multi-agent Systems