Horus: a flexible group communication system
Communications of the ACM
Multi-agent dependence by dependence graphs
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Improving fault-tolerance by replicating agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
An analysis of agent speech acts as institutional actions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
From Active Objects to Autonomous Agents
IEEE Concurrency
An Actor-Based Architecture for Customizing and Controlling Agent Ensembles
IEEE Intelligent Systems
Lessons from Designing and Implementing GARF
OBPDC '95 Selected papers from the Workshop, on Object-Based Parallel and Distributed Computation
DARX—A Framework For The Fault-Tolerant Support Of Agent Software
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Monitoring and Organizational-Level Adaptation of Multi-Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
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In this paper, we propose an approach for fault-tolerance of multi-agent systems (MASs). The starting idea is the application of replication strategies to agents, the most critical agents being replicated to prevent failures. As criticality of agents may evolve during the course of computation and problem solving, and as resources are bounded, we need to dynamically and automatically adapt the number of replicas of agents, in order to maximize their reliability and availability. We will describe our approach and related mechanisms for evaluating the criticality of a given agent and for deciding how to parameterize the strategy (e.g., number of replicas). We also will report on experiments conducted with our prototype architecture (named DimaX).