Process mining in a multi-agent auctioning system

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


Summary. Both process mining and multi agent simulations are relatively new re- search areas, both evolving rapidly. In multi agent simulations, techniques are being developed to make agents more intelligent and more adaptive to their environment. In process mining, the focus has shifted from discovering a complete process model from an execution log, to the development of all kind of analysis techniques related to processes. In this paper, we combine the two research areas by showing that process mining techniques, applied to the communication logs of multi-agent simu- lations, can help in understanding the behaviour of agents. Furthermore, we show that process mining could actually help agents to adapt to their environment, by enabling them to discover why another agent makes certain decisions instead of just reacting on the fact that the other agent made a decision.
Original languageEnglish
Title of host publicationProceedings of the Fourth International Workshop on Modelling of Objects, Components and Agents, MOCA'06 ; [26th June, 2006, Turku, Finland]
EditorsD. Moldt
Place of PublicationHamburg
PublisherUniversity of Hamburg
Publication statusPublished - 2006
Eventconference; MOCA 2006 -
Duration: 1 Jan 2006 → …

Publication series

NameBericht Universität Hamburg, Department Informatik


Conferenceconference; MOCA 2006
Period1/01/06 → …
OtherMOCA 2006


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