Chameleon: A Software Infrastructure for Adaptive Fault Tolerance
IEEE Transactions on Parallel and Distributed Systems
Improving fault-tolerance by replicating agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
AQuA: An Adaptive Architecture that Provides Dependable Distributed Objects
SRDS '98 Proceedings of the The 17th IEEE Symposium on Reliable Distributed Systems
A Predictive Method for Providing Fault Tolerance in Multi-agent Systems
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Probabilistically survivable MASs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Towards a predictive fault tolerance approach in multi-agent systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
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The fact that multiagent applications are prone to the same faults that any distributed system is susceptible to and the need for a higher quality of service in these systems justify the increasing interest in fault-tolerant multiagent systems. In this article, we propose an original method for providing dependability in multiagent systems through replication. Our method is different from other works because our research focuses on building an automatic, adaptive and predictive replication policy where critical agents are replicated to minimize the impact of failures. This policy is determined by taking into account the criticality of the plans of the agents, which contain the collective and individual behaviors of the agents in the application. The set of replication strategies applied at a given moment to an agent is then fine-tuned gradually by the replication system so as to reflect the dynamicity of the multiagent system. Some preliminary measurements were made to assess the efficiency of our approach and future directions are presented.