A Distributed Numerical Approach for Managing Uncertainty in Large-Scale Multi-agent Systems

Abstract

Mathematical models of complex processes provide precise definitions of the processes and facilitate the prediction of process behavior for varying contexts. In this paper, we present a numerical method for modeling the propagation of uncertainty in a multi-agent system (MAS) and a qualitative justification for this model. We discuss how this model could help determine the effect of various types of uncertainty on different parts of the multi-agent system; facilitate the development of distributed policies for containing the uncertainty propagation to local nodes; and estimate the resource usage for such policies.

DOI: 10.1007/978-3-642-04879-1_6

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Cite this paper

@inproceedings{Raja2009ADN, title={A Distributed Numerical Approach for Managing Uncertainty in Large-Scale Multi-agent Systems}, author={Anita Raja and Michael V. Klibanov}, booktitle={Safety and Security in Multiagent Systems}, year={2009} }