An agent model for fault-tolerant systems
Proceedings of the 2005 ACM symposium on Applied computing
Software—Practice & Experience
Role-based teamwork activity recognition in observations of embodied agent actions
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Combining fault injection and model checking to verify fault tolerance in multi-agent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 2006 conference on Knowledge-Based Software Engineering: Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering
Generating Knowledge-Based System Generators: A Software Engineering Approach
International Journal of Intelligent Information Technologies
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To make large-scale multi-agent systems reliable, we propose an adaptive application of replication strategies. Critical agents are replicated to avoid failures. As criticality of agents may evolve during the course of computation and problem solving, we need to dynamically and automatically adapt the number of replicas of agents, in order to maximize their reliability and availability based on available resources. We are studying an approach and mechanisms for evaluating the criticality of a given agent and for deciding what strategy to apply (e.g., active replication, passive) and how to parameterize it (e.g., number of replicas).