The paper addresses the task of monitoring and diagnosing the execution of a multi-agent plan (MAP) which involves actions concurrently executed by a team of cooperating agents. The paper describes a weak commitment strategy to deal with cases where observability is only partial and it is not sufficient for inferring the outcome of all the actions executed so far. The paper discusses the role of target actions in providing sufficient conditions for inferring the pending outcomes in a finite time window. The action outcome provides the basis for computing plan diagnosis and for singling out the goals which will not be achieved because of an action failure.

Monitoring the Execution of a Multi-Agent Plan: Dealing with Partial Observability

MICALIZIO, ROBERTO;TORASSO, Pietro
2008-01-01

Abstract

The paper addresses the task of monitoring and diagnosing the execution of a multi-agent plan (MAP) which involves actions concurrently executed by a team of cooperating agents. The paper describes a weak commitment strategy to deal with cases where observability is only partial and it is not sufficient for inferring the outcome of all the actions executed so far. The paper discusses the role of target actions in providing sufficient conditions for inferring the pending outcomes in a finite time window. The action outcome provides the basis for computing plan diagnosis and for singling out the goals which will not be achieved because of an action failure.
2008
18th European Conference on Artificial Intelligence (ECAI 2008)
Patras (Greece)
21-25 July 2008
Proceedings of the 18th European Conference on Artificial Intelligence (ECAI 2008)
IOS Press
178
408
412
9781586038915
http://ebooks.iospress.nl/publication/4402
Multi Agent Systems; plan diagnosis; Intelligent monitoring
R. MICALIZIO; P. TORASSO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/45963
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