An analysis of multi-agent diagnosis

Nico Roos*, Annette Ten Teije, André Bos, Cees Witteveen

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper analyzes the use of a Multi-Agent System for Model-Based Diagnosis. In a large dynamical system, it is often infeasible or even impossible to maintain a model of the whole system. Instead, several incomplete models of the system have to be used to establish a diagnosis and to detect possible faults. These models may also be physically distributed. A Multi-Agent System of diagnostic agents may offer solutions for establishing a global diagnosis. If we use a separate agent for each incomplete model of the system, establishing a global diagnosis becomes a problem of cooperation and negotiation between the diagnostic agents. This raises the question whether 'a set of diagnostic agents, each having an incomplete model of the system, can (efficiently) determine the same global diagnosis as an ideal single diagnostic agent having the combined knowledge of these agents?'.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Autonomous Agents
EditorsC. Castelfranchi, W.L. Johnson
Pages986-987
Number of pages2
Edition1
Publication statusPublished - 2002
EventProceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems - Bologna, Italy
Duration: 15 Jul 200219 Jul 2002

Conference

ConferenceProceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems
CountryItaly
CityBologna
Period15/07/0219/07/02

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