Contribution to the Control of a MAS's Global Behaviour: Reinforcement Learning Tools
Engineering Societies in the Agents World IX
A self-adapting system generating intentional behavior and emotions
WRAC'05 Proceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems
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In order to build massive multi-agent systems, considered as complex and dynamic systems, one needs a method to analyze and control the system. We suggest an approach using morphology to represent and control the state of large organizations composed of a great number of light software agents. Morphology is understood as representing the state of the multi-agent system as shapes in an abstract geometrical space, this notion is close to the notion of phase space in physics.