Role Modeling for Agent System Analysis, Design, and Implementation
IEEE Concurrency
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Emergent timetabling organization
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
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COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
A Multi-agent Organization for the Governance of Machine-to-Machine Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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A multi-agent system which operates in an open environment must be able to react to unpredictable events. These events lead, at the system level, to possible system's failures and, inside the system, to agents' failures. Each agent performs several roles which could be unfulfilled in the system in case of agents' failures. To overcome these failure situations, agents could have their interactions and/or roles change during the multi-agent system execution. Doing so, we can prevent from system incoherence and possible deadlocks. Hence, we propose in this paper two techniques such that the first techniques allows to operate changes in agents' interactions and the second technique allows to operate changes in agents' roles in order to build adaptive multi-agent systems. We will illustrate our techniques by applying them to a case study: a timetable design.