Industrial deployment of multi-agent technologies: review and selected case studies
Autonomous Agents and Multi-Agent Systems
Methods to Observe the Clustering of Agents Within a Multi-Agent System
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Plan, Commit, Execute Protocol in Multi-agent Systems
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
An automation agent architecture with a reflective world model in manufacturing systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Clustering methods for agent distribution optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An MPI-based implementation of intelligent agents on clusters
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
New trends of visualization in smart production control systems
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
Multi-agent system design and integration via agent development environment
Engineering Applications of Artificial Intelligence
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One of the main characteristics of multiagent systems (MAS) is fault tolerance. When an agent is unavailable for some reason, another agent with similar capabilities can theoretically compensate for this loss. The system can be designed not only for this kind of fault tolerance but also for others. Many key aspects of fault tolerance in MAS are described in this correspondence including social knowledge and physical distribution. We present a MAS framework that has been designed for control applications, in which fault tolerance and flexibility are key parts of the system