Modeling adaptive autonomous agents
Artificial Life
Visual modeling for complex agent-based simulation systems
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
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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 self-organizing principles through an agent adaptive architecture and a reinforcement mechanism. This mechanism was designed and implemented using the INGENIAS methodology.