Agent-encapsulated bayesian networks and the rumor problem
Scott M. Langevin, Marco Valtorta, Mark Bloemeke · 2010
We present a multiagent organization for data interpretation and fusion in which each agent uses an encapsulated Bayesian network for knowledge representation, and agents communicate by exchanging beliefs (marginal posterior probabilities) on shared variables. We call this organization an Agent-Encapsulated Bayesian Network (AEBN) system. Communication of probabilities among agents leads to rumors, i.e. potential double counting of information. We show how to compensate for rumors in AEBN systems by passing extended messages that contain joint probabilities. We analyze the complexity of the proposed solution using simple parameters of the probabilistic multiagent system. Categories and Subject Descriptors