Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
When Agents Emerge from Agents: Introducing Multi-scale Viewpoints in Multi-agent Simulations
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
The IRM4S model: the influence/reaction principle for multiagent based simulation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
MASQ: towards an integral approach to interaction
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
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In this paper, a meta-model called IRM4MLS, that aims to be a generic ground to specify and execute multi-level agent-based models is presented. It relies on the influence/reaction principle and more specifically on IRM4S [13,14]. Simulation models for IRM4MLS are defined. The capabilities and possible extensions of the meta-model are discussed.