Analyzing multi-agent activity logs using process mining techniques

A. Rozinat, S. Zickler, M. Veloso, W.M.P. Aalst, van der, C. McMillen

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

16 Citations (Scopus)

Abstract

Distributed autonomous robotic systems exhibit complex behavior that| although programmed, but due to the impact of the environment|only materializes as the process unfolds. Thus, the actual behavior of such a system cannot be known in advance but must be observed to be evaluated or verified. In this paper we propose to use process mining techniques to extract, compare, and enhance models of the actual behavior of a multi-agent robotic system through analyzing collected log data. We use the example of robot soccer as such a multi-agent robotic system, and we demonstrate which types of analysis are currently possible in the context of the process mining tool set ProM.
Original languageEnglish
Title of host publicationDistributed Autonomous Robotic Systems 8 (9th International Symposium, Tsukuba, Ibaraki, Japan, November 17-19, 2008)
EditorsH. Asama, H. Kurokawa, J. Ota, K. Sekiyama
Place of PublicationBerlin
PublisherSpringer
Pages251-260
Volume4
ISBN (Print)978-3-642-00643-2
DOIs
Publication statusPublished - 2009
Eventconference; 9th International Symposium on Distributed Autonomous Robotic Systems 2008, Tsukuba, Ibaraki, Japan; 2008-11-17; 2008-11-19 -
Duration: 17 Nov 200819 Nov 2008

Conference

Conferenceconference; 9th International Symposium on Distributed Autonomous Robotic Systems 2008, Tsukuba, Ibaraki, Japan; 2008-11-17; 2008-11-19
Period17/11/0819/11/08
Other9th International Symposium on Distributed Autonomous Robotic Systems 2008, Tsukuba, Ibaraki, Japan

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