Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

Business Process and Services Computing 1st International Working Conference on Business Process and Services Computing BPSC 2007 September 25 - 26, 2007, Leipzig, Germany P-116, 93-104 (2007).

Gesellschaft für Informatik, Bonn


Witold Abramowicz (ed.), Leszek Maciaszek (ed.)

Copyright © Gesellschaft für Informatik, Bonn


Flexibility enhancements in BPM by applying executable product models and intelligent agents

Markus Kress and Detlef Seese


In this paper we present an alternative approach to model and execute business processes. The approach combines a compact model with an intelligent control flow mechanism. Instead of using a pre-designed process model that is executed during runtime by a workflow engine, we use a special model called executable product model (EPM) that is executed by a multi-agent system. The EPM provides a compact representation of the set of possible execution paths of a business process by defining information dependencies instead of the order of activities. In our approach the application of intelligent agents takes advantage of the flexibility provided by the EPM. Relational reinforcement learning (RRL) with a genetic algorithm (GA) is applied for managing the control flow. In experiments we show that business processes can be executed successfully with our approach and that the application of machine learning leads to significant performance gains.

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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-210-9

Last changed 04.10.2013 18:15:33