ACM Computing Surveys (CSUR)
A methodology for agent-oriented analysis and design
Proceedings of the third annual conference on Autonomous Agents
Self-stabilization
Self-stabilizing systems in spite of distributed control
Communications of the ACM
Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
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Self-Stabilization is an important concept for distributed computing and communication networks. It describes a system's ability to recover automatically from unexpected failure. It is also an important issue for multiagent systems, as they are distributed and communicative systems. Therefore, we investigate self-stabilization for multiagent systems and how it can be achieved. We define the functionality of an agent society and the task to be achieved in terms of roles which agents may fulfill. Self-Stabilization can thus be achieved by ensuring role adopting and role fulfillment within an agent society.