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.
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Dangelmaier, W., Klöpper, B., Blecken, A. (2007). An Agent Based Modelling Approach for Stochastic Planning Parameters. In: Mařík, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_22
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DOI: https://doi.org/10.1007/978-3-540-74481-8_22
Publisher Name: Springer, Berlin, Heidelberg
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