Abstract (EN)

When designing agent-based simulation, thechoice of a coordination model is a key issue, since oneof the difficulties is to link the activation of the agentswith their context efficiently. Current solutions separatethe activation phase from the action phase of theagents, and each action phase is based on local agentcontext analysis which is time-expensive. Moreover, becausethe link between the context and the action is aninternal part of the agent, it is more difficult to modifythe way the agent reacts to the context without alteringthe way the agent is implemented. Our proposal, calledEASS (Environment as Active Support for Simulation),is a new approach for agent activation, where the contextis analysed inside the environment and conditionsthe activation of the agents. The main result of contextualactivation is to simplify the achievement of complexsimulations and to decrease run-time. The EASS modelhas been implemented within the kernel of MadKit, amulti-agent platform, and the first results are given.