An Agent Based Modelling Approach for Stochastic Planning Parameters

Authors:
Wilhelm Dangelmaier;Benjamin Klöpper;Alexander Blecken
Affiliations:
Heinz Nixdorf Institute, University of Paderborn, Fürstenallee 11, 33102 Paderborn, Germany;Heinz Nixdorf Institute, University of Paderborn, Fürstenallee 11, 33102 Paderborn, Germany;Heinz Nixdorf Institute, University of Paderborn, Fürstenallee 11, 33102 Paderborn, Germany
Venue:
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Year:
2007

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Abstract

Many planning problems are influenced by stochastical environmental factors. There are several planning algorithms from various application domains which are able to handle stochastic parameters. Correct information about these stochastic parameters has impact on the quality of plans. There is a lack of sufficient research on how to obtain this information. In this paper, we introduce a Multiagent System (MAS) that is able to model stochastic parameters and to provide up-to-date information about these parameters. Due to their access to locally available informations expert agents are used, which apply the paradigm of Bayesian Thinking in order to provide high quality information to planning agents.