Knowledge and common knowledge in a distributed environment
Journal of the ACM (JACM)
Unified theories of cognition
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Journal of Artificial Intelligence Research
A model-based approach to reactive self-configuring systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
If at first you don't succeed...
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Detecting and reacting to unplanned-for world states
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Tracking dynamic team activity
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Proceedings of the third annual conference on Autonomous Agents
Towards a fault-tolerant multi-agent system architecture
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
An exception-handling architecture for open electronic marketplaces of contract net software agents
Proceedings of the 2nd ACM conference on Electronic commerce
Towards a definition of robustness for market-style open multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Dependence Graphs: Dependence Within and Between Groups
Computational & Mathematical Organization Theory
Towards Flexible Teamwork in Persistent Teams: Extended Report
Autonomous Agents and Multi-Agent Systems
Artificial social intelligence: a necessity for agent systems' developments
The Knowledge Engineering Review
Multi-agent decision support via user-modeling
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Scalable and reliable data delivery in mobile ad hoc sensor networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Advanced Engineering Informatics
On the design of coordination diagnosis algorithms for teams of situated agents
Artificial Intelligence
Exception Diagnosis Architecture for Open Multi-Agent Systems
Software Engineering for Multi-Agent Systems V
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Robust agent teams via socially-attentive monitoring
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
A sentinel based exception diagnosis in market based multi-agent systems
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
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Robust behavior in complex, dynamic environments mandates that intelligent agents autonomously monitor their own run-time behavior, detect and diagnose failures, and attempt recovery. This challenge is intensified in multiagent settings, where the coordinated and competitive behaviors of other agents affect an agent's own performance. Previous approaches to this problem have often focused on single agent domains and have failed to address or exploit key facets of multi-agent domains, such as handling team failures. We present SAM, a complementary approach to monitoring and diagnosis for multi-agent domains that is particularly well-suited for collaborative settings. SAM includes the following key novel concepts: First, SAM's failure detection technique, inspired by social psychology, utilizes other agents as information sources and detects failures both in an agent and in its teammates. Second, SAM performs social diagnosis, reasoning about the failures in its team using an explicit model of teamwork (previously, teamwork models have been employed only in prescribing agent behaviors in teamwork). Third, SAM employs model sharing to alleviate the inherent inefficiencies associated with representing multiple agent models. We have implemented SAM in a complex, realistic multi-agent domain, and provide detailed empirical results assessing its benefits.