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ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
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ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
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This paper’s object is to present the results of theGEAMAS project which aims at modeling and simulating naturalcomplex systems. GEAMAS is a generic architecture of agents usedto study the behavior emergence in such systems. It is amultiagent program meant to develop simulation applications.Modeling complex systems requires to reduce, to organize thesystem complexity and to describe suitable components.Complexity of the system can then be tackled with anagent-oriented approach, where interactions lead to a globalbehavior. This approach helps in understanding hownon-determinist behavior can emerge from interactions betweenagents, which is near of self-organized criticality used toexplain natural phenomena. In the Applied ArtificialIntelligence context, this paper presents an agent softwarearchitecture using a model of agent. This architecture is composedof three abstract levels over which the complexity isdistributed and reduced. The architecture is implemented inReActalk, an open agent-oriented development tool, which wasdeveloped on top of Smalltalk-80. To illustrate our purpose andto validate the architecture, a simulation program to help inpredicting volcanic eruptions was investigated. This program wasrun over a period of one year and has given many satisfying resultsunattainable up to there with more classical approaches.