Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
Exception handling in agent systems
Proceedings of the third annual conference on Autonomous Agents
Towards robust teams with many agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Debugging multi-agent systems using design artifacts: the case of interaction protocols
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
A protocol for multi-agent diagnosis with spatially distributed knowledge
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An Experimental Evaluation of Domain-Independent Fault Handling Services in Open Multi-Agent Systems
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Adaptive Agent Integration Architectures for Heterogeneous Team Members
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Diagnosis as an Integral Part of Multi-Agent Adaptability TITLE2:
Diagnosis as an Integral Part of Multi-Agent Adaptability TITLE2:
Reaching Diagnostic Agreement in Multi-Agent Diagnosis
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Diagnosing a team of agents: scaling-up
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Coordination of Large-Scale Multiagent Systems
Coordination of Large-Scale Multiagent Systems
On the design of coordination diagnosis algorithms for teams of situated agents
Artificial Intelligence
Diagnosis of multi-robot coordination failures using distributed CSP algorithms
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Robust agent teams via socially-attentive monitoring
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Two fielded teams and two experts: a RoboCup challenge response from the trenches
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Executing reactive, model-based programs through graph-based temporal planning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A scalable petri net representation of interaction protocols for overhearing
AC'04 Proceedings of the 2004 international conference on Agent Communication
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Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems.