Monitoring agents using declarative planning
Fundamenta Informaticae
Probabilistically survivable MASs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Distributed algorithms for dynamic survivability of multiagent systems
CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
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There is a growing need for improving the fault tolerance in multiagent systems (MASs). In this thesis, we investigate it in two parts. The first part presents a monitoring approach which detects whether the design and implementation of a MAS is correct. The second part introduces agent-oriented architectures which aim to maximise multiagent survivability. We then present several heuristics to measure the survivability of a given MAS.