Monitoring agents using declarative planning

Juergen Dix; Thomas Eiter; Michael Fink; Axel Polleres; Y. Zhang

doi:10.1007/978-3-540-39451-8_47

Monitoring agents using declarative planning

Juergen Dix, Thomas Eiter, Michael Fink, Axel Polleres, Y. Zhang

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

3 Citations (Scopus)

Abstract

We present an agent monitoring approach, which aims at refuting from (possibly incomplete) information at hand that a multi-agent system (MAS) is implemented properly. In this approach, agent collaboration is abstractly described in an action theory. Action sequences reaching the collaboration goal are determined by a planner, whose compliance with the actual MAS behavior allows to detect possible collaboration failures. The approach can be fruitfully applied to aid offline testing of a MAS implementation, as well as online monitoring.

Original language	English
Title of host publication	KI 2003: Advances in Artificial Intelligence
Subtitle of host publication	26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003. Proceedings
Place of Publication	Berlin
Publisher	Springer
Pages	646 – 660
ISBN (Print)	978-3-540-20059-8
DOIs	https://doi.org/10.1007/978-3-540-39451-8_47
Publication status	Published - 2003

Publication series

Name	LNCS
Volume	2821

Access to Document

10.1007/978-3-540-39451-8_47

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Monitoring agents using declarative planning. / Dix, Juergen; Eiter, Thomas; Fink, Michael; Polleres, Axel; Zhang, Y.

KI 2003: Advances in Artificial Intelligence : 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003. Proceedings. Berlin : Springer, 2003. p. 646 – 660 (LNCS; Vol. 2821).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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