A Planning-Based Knowledge Acquisition Methodology
Proceedings of the 2005 conference on Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005
The multi-agent programming contest from 2005---2010
Annals of Mathematics and Artificial Intelligence
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In this work, we describe strategies for multi-agent coordination, where adequate coordination means a system performance increase. In the main strategy, when an agent cannot perform an action, for whatever reason, it chooses the agent more capable in the environment to execute this action. All the specification of the multi-agent system, from the social strategy to the actions in the environment, is made using a particular Petri Net model. The results show the strategy efficacy especially when the environment increases the necessity for a reaction.