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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Planning For Autonomous Decision-Making In A Logistic Scenario

Authors:

Martin Lorenz, Christian Ober-Blöbaum, Otthein Herzog

Published in:

 

ECMS 2007 Proceedings

Edited by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni

 

ISBN: 978-0-9553018-2-7

Doi: 10.7148/2007

 

21st European Conference on Modelling and Simulation,

Prague, June 4-6, 2007

 

Citation format:

Lorenz, M., Ober-Bloebaum, C., & Herzog, O. (2007). Planning For Autonomous Decision-Making In A Logistic Scenario. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 140-145). European Council for Modeling and Simulation. doi:10.7148/2007-0140.

DOI:

http://dx.doi.org/10.7148/2007-0140

Abstract:

Decision making in a real-world domain like lo- gistics is challenging for an autonomous technical system like a software agent. In this paper the prob- lem of planning in such an environment is addressed. Classical planning and probabilistic criteria-directed scheduling components are tied together by a meta- level control and supplemented by a sophisticated world model and a risk management module to form a plan-based decision support system for autonomous control of logistic entities. The system is designed to be integrated in a multi-agent based simulation for evaluation and will later be used to support autonou- mous decision making in real-world logistic domains.

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