A probabilistic framework for cooperative multi-agent distributed interpretation and optimization of communication

摘要

Multiply sectioned Bayesian networks for single-agent systems are extended into a framework for cooperative multi-agent distributed interpretation systems. Each agent is represented as a Bayesian subnet. We show that the semantics of the joint probability distribution of such a system is well defined under reasonable conditions.