Execution monitoring and diagnosis in multi-agent environments

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

Abstract

Socially-Attentive Monitoring (SAM) is a novel complementary paradigm for multi-agent monitoring and diagnosis. It focuses on monitoring the social relationships between the agents as they are executing their tasks, and uses models of multiple agents and their relationships in monitoring and diagnosis. SAM is empirically and analytically investigated in ModSAF battle-field simulation, and in the RoboCup soccer simulation. In both applications, SAM captures failures that are otherwise undetectable, and that distributed monitoring is better and simpler than a centralized scheme.

Original languageEnglish
Title of host publicationProceedings of the National Conference on Artificial Intelligence
PublisherAAAI
Pages947
Number of pages1
ISBN (Print)0262511061
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 16th National Conference on Artificial Intelligence (AAAI-99), 11th Innovative Applications of Artificial Intelligence Conference (IAAI-99) - Orlando, FL, USA
Duration: 18 Jul 199922 Jul 1999

Publication series

NameProceedings of the National Conference on Artificial Intelligence

Conference

ConferenceProceedings of the 1999 16th National Conference on Artificial Intelligence (AAAI-99), 11th Innovative Applications of Artificial Intelligence Conference (IAAI-99)
CityOrlando, FL, USA
Period18/07/9922/07/99

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