Artificial Intelligence
Symbolic Boolean manipulation with ordered binary-decision diagrams
ACM Computing Surveys (CSUR)
Collaborative plans for complex group action
Artificial Intelligence
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Using self-diagnosis to adapt organizational structures
Proceedings of the fifth international 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
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
Journal of Artificial Intelligence Research
On the design of social diagnosis algorithms for multi-agent teams
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Supervision and diagnosis of joint actions in multi-agent plans
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
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
Plan Diagnosis and Agent Diagnosis in Multi-agent Systems
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Primary and secondary diagnosis of multi-agent plan execution
Autonomous Agents and Multi-Agent Systems
Detecting disagreements in large-scale multi-agent teams
Autonomous Agents and Multi-Agent Systems
Models and methods for plan diagnosis
Autonomous Agents and Multi-Agent Systems
Diagnosis of Simple Temporal Networks
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A representation for coordination fault detection in large-scale multi-agent systems
Annals of Mathematics and Artificial Intelligence
COMMODITY12: A smart e-health environment for diabetes management
Journal of Ambient Intelligence and Smart Environments - Design and Deployment of Intelligent Environments
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Agents in a team must be in agreement. Unfortunately, they may come to disagree due to sensing uncertainty, communication failures, etc. Once a disagreement occurs we should detect the disagreement and diagnose it. Unfortunately, current diagnosis techniques do not scale well with the number of agents, as they have high communication and computation complexity. We suggest three techniques to reduce this complexity: (i) reducing the amount of diagnostic reasoning by sending targeted queries; (ii) using light-weight behavior recognition to recognize which beliefs of the agents might be in conflict; and (iii) grouping the agents according to their role and behavior and then diagnosing the groups based on representative agents. We examine these techniques in large-scale teams, in two domains, and show that combining the techniques produces a diagnosis process which is highly scalable in both communication and computation.