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2009
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Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables

9 years 3 months ago
Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through message passing. By using the theory on factor graphs and cluster graphs we (i) analyze the suitability of the existing approaches to modular inference with respect to a relevant class of domains and (ii) derive methods for construction of modular systems, which support globally coherent Bayesian inference without compilation of secondary probabilistic structures spanning multiple modules. In the proposed approach dependencies between inference modules are reduced through targeted instantiation of variables, which is based on the analysis of cluster graphs. Keywords-Multi Agent Systems, Collaborative Bayesian Inference, Decentralized processing.
Patrick de Oude, Gregor Pavlin
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2009
Where IAT
Authors Patrick de Oude, Gregor Pavlin
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