Distributed Multi-Agent Probabilistic Reasoning With Bayesian Networks

Main stream approaches in distributed artificial intelligence (DAI) are essentially logic-based. Little has been reported to explore probabilistic approach in DAI. On the other hand, Bayesian networks have been applied to many AI tasks that require reasoning under uncertainty. However, as commonly applied, a single-agent paradigm is assumed in Bayesian networks.

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