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.
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Raja, A., Klibanov, M. (2009). A Distributed Numerical Approach for Managing Uncertainty in Large-Scale Multi-agent Systems. In: Barley, M., Mouratidis, H., Unruh, A., Spears, D., Scerri, P., Massacci, F. (eds) Safety and Security in Multiagent Systems. Lecture Notes in Computer Science(), vol 4324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04879-1_6
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DOI: https://doi.org/10.1007/978-3-642-04879-1_6
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