Reactive distributed artificial intelligence: principles and applications
Foundations of distributed artificial intelligence
GEAMAS: A Generic Architecture for Agent-Oriented Simulations ofComplex Processes
Applied Intelligence
Cormas: Common-Pool Resources and Multi-agent Systems
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
GEAMAS V2.0: An Object Oriented Platform for Complex Systems Simulations
TOOLS '98 Proceedings of the Technology of Object-Oriented Languages and Systems
A Meta-Model for the Analysis and Design of Organizations in Multi-Agent Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Environmental Simulations Using Multiagent Systems
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
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Nowadays, multiagent systems are very often used to run environmental simulations. Thanks to the fact than multiagents focus more on interactions rather than on the system in its globality, scientists and researchers are now able to represent complex systems and they can simulate them. Consequently, a large number of multiagents platforms allows to perform such kind of simulations. But there is no work on the fact that an agent can evolve simultaneously in multiple environments. This is why, in this paper, we present a very innovative architecture that allow to model multiple environment for a single agent in a multiagent system. But as this multiplicity of environments raises new problems with regard to classic architecture, we explain how, by adding new entities, we obtain a coherent and viable model. These new entities are notably the virtual environmental instance and the virtual environment. This new model is explained and detailed due to concrete examples and more particularly with an example on the movement of shoals of fish in Indian Ocean.