A theory of diagnosis from first principles
Artificial Intelligence
A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
Diagnosis of large active systems
Artificial Intelligence
Using self-diagnosis to adapt organizational structures
Proceedings of the fifth international conference on Autonomous agents
An analysis of multi-agent diagnosis
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Autonomous Agents and Multi-Agent Systems
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
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Diagnosing a Team of Agents: Scaling-Up
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
On the design of social diagnosis algorithms for multi-agent teams
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
On-line monitoring of plan execution: A distributed approach
Knowledge-Based Systems
Diagnosis of plan step errors and plan structure violations
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
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
Team Cooperation for Plan Recovery in Multi-agent Systems
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Collaborative microdrones: applications and research challenges
Autonomics '08 Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems
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
Monitoring the Execution of a Multi-Agent Plan: Dealing with Partial Observability
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Diagnosis of Simple Temporal Networks
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Distributed AI for ambient intelligence: issues and approaches
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Reasoning about Exceptions to Contracts
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Keeping plan execution healthy
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Multilevel approach to agent-based task allocation in transportation
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
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
Application of model-based diagnosis to multi-agent systems representing public administration
AICOL'11 Proceedings of the 25th IVR Congress conference on AI Approaches to the Complexity of Legal Systems: models and ethical challenges for legal systems, legal language and legal ontologies, argumentation and software agents
Bridging control and artificial intelligence theories for diagnosis: A survey
Engineering Applications of Artificial Intelligence
Interacting behavioral Petri nets analysis for distributed causal model-based diagnosis
Autonomous Agents and Multi-Agent Systems
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We discuss the application of Model Based Diagnosis in agent-based planning. We model a plan as a system to be diagnosed and assume that agents can monitor the execution of the plan by making partial observations during plan execution. These observations are used by the agents to explain plan deviations (errors) by qualifying some action instances as behaving abnormally. We prefer those qualifications that are maximum informative, i.e. explain as much as possible. Since in a plan several instances of the same action might occur, an error occurring in one instance might be used to predict the occurrence of the same error in an action instance to be executed later on. To account for such correlations, we introduce causal rules to generate diagnoses from action instances qualified as abnormally and we introduce Pareto minimal causal diagnoses as the right extension of classical minimal diagnoses.Next, we consider the multi-agent perspective where each agent is responsible for a part of the total plan, we show how plan-diagnoses of these partial plans are related to diagnoses of the total plan and how global diagnoses can be obtained in a distributed way.