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
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Diagnosis as an Integral Part of Multi-Agent Adaptability TITLE2:
Diagnosis as an Integral Part of Multi-Agent Adaptability TITLE2:
Robust agent teams via socially-attentive monitoring
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Diagnosing a Team of Agents: Scaling-Up
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Attributing mental attitudes to roles: the agent metaphor applied to e-trade organizations
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Diagnosing a team of agents: scaling-up
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Diagnosis of single and multi-agent plans
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Model-based diagnosis of multi-agent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Synthesizing diagnostic explanations from monitoring data in multi-robot systems
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
On the design of coordination diagnosis algorithms for teams of situated agents
Artificial Intelligence
Using DESs for Temporal Diagnosis of Multi-agent Plan Execution
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Diagnosis of Plan Structure Violations
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Tools for analyzing intelligent agent systems
Web Intelligence and Agent Systems
Distributed Consistency-Based Diagnosis
LPAR '08 Proceedings of the 15th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning
Primary and secondary diagnosis of multi-agent plan execution
Autonomous Agents and Multi-Agent Systems
Models and methods for plan diagnosis
Autonomous Agents and Multi-Agent Systems
Towards model-based diagnosis of coordination failures
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Distributed AI for ambient intelligence: issues and approaches
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
A methodology for automatic diagnosability analysis
ICFEM'10 Proceedings of the 12th international conference on Formal engineering methods and software engineering
Reasoning about Exceptions to Contracts
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Diagnosis of plan execution and the executing agent
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Diagnosis of multi-agent plan execution
MATES'06 Proceedings of the 4th German conference on Multiagent System Technologies
Exception diagnosis in multiagent contract executions
Annals of Mathematics and Artificial Intelligence
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Teamwork demands agreement among teammembers to collaborate and coordinate effectively. When a disagreement between teammates occurs (due to failures), team-members should ideally diagnose its causes, to resolve the disagreement. Such diagnosis of social failures can be expensive in communication and computation overhead, which previous work did not address. We present a novel design space of diagnosis algorithms, distinguishing several phases in the diagnosis process, and providing alternative algorithms for each phase. We then combine these algorithms in different ways to empirically explore specific design choices in a complex domain, on thousands of failure cases. The results show that centralizing the diagnosis disambiguation process is a key factor in reducing communications, while run-time is affected mainly by the amount of reasoning about other agents. These results contrast sharply with previous work in disagreement detection, in which distributed algorithms reduce communications.