Analyzing Multi-agent Activity Logs Using Process Mining Techniques

被引：13

作者：

Rozinat, A. ^{[1
,2
]}

Zickler, S. ^{[2
]}

Veloso, M. ^{[2
]}

van der Aalst, W. M. P. ^{[1
]}

McMillen, C. ^{[2
]}

机构：

[1] Eindhoven Univ Technol, Informat Syst Grp, POB 513, NL-5600 MB Eindhoven, Netherlands

[2] Carnegie Mellon Univ, Dept Comp Sci, Pittsburgh, PA 15213 USA

来源：

DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS 8 | 2009年

关键词：

D O I：

10.1007/978-3-642-00644-9_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：251 / +

页数：2

共 50 条

[21] Petri-net integration - An approach to support multi-agent process mining
Ou-Yang, C.
Winarjo, H.
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) : 4039 - 4051
[22] Using machine learning techniques in complex multi-agent domains
Riedmiller, M
Merke, A
[J]. ADAPTIVITY AND LEARNING: AN INTERDISCIPLINARY DEBATE, 2003, : 311 - 328
[23] Techniques for multi-agent system reorganization
Picard, Gauthier
Mellouli, Sehl
Gleizes, Marie-Pierre
[J]. ENGINEERING SOCIETIES IN THE AGENTS WORLD VI, 2006, 3963 : 142 - +
[24] Analysis of multi-agent activity using petri nets
Perse, Matej
Kristan, Matej
Pers, Janez
Music, Gasper
Vuckovic, Goran
Kovacic, Stanislav
[J]. PATTERN RECOGNITION, 2010, 43 (04) : 1491 - 1501
[25] Clustering in a Multi-Agent Data Mining Environment
Chaimontree, Santhana
Atkinson, Katie
Coenen, Frans
[J]. AGENTS AND DATA MINING INTERACTION, 2010, 5980 : 103 - 114
[26] Multi-agent systems and distributed data mining
Giannella, C
Bhargava, R
Kargupta, H
[J]. COOPERATIVE INFORMATION AGENTS VIII, PROCEEDINGS, 2004, 3191 : 1 - 15
[27] The Semantics of Norms Mining in Multi-agent Systems
Mahmoud, Moamin A.
Ahmad, Mohd Sharifuddin
Ahmad, Azhana
Yusoff, Mohd Zaliman Mohd
Mustapha, Aida
[J]. COMPUTATIONAL COLLECTIVE INTELLIGENCE - TECHNOLOGIES AND APPLICATIONS, PT I, 2012, 7653 : 425 - 435
[28] Encouraging the Recycling Process of Urban Waste by Means of Game Theory Techniques Using a Multi-agent Architecture
Gonzalez-Briones, Alfonso
Chamoso, Pablo
Rodriguez, Sara
Gonzalez-Arrieta, Angelica
Corchado, Juan M.
[J]. ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2018, 2018, 11238 : 120 - 131
[29] Integration of process planning and scheduling using multi-agent learning
Fujii, Nobutada
Inoue, Riku
Ueda, Kanji
[J]. MANUFACTURING SYSTEMS AND TECHNOLOGIES FOR THE NEW FRONTIER, 2008, : 297 - +
[30] Integration of Process and Quality Control using Multi-Agent Technology
Cristalli, C.
Foehr, M.
Jaeger, T.
Leitao, P.
Paone, N.
Castellini, P.
Turrin, C.
Schjolberg, I.
[J]. 2013 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2013,

← 1 2 3 4 5 →