Coherent Inference on Distributed Bayesian Expert Systems
Jim Q. Smith · 2011
It is becoming increasingly necessary for di¤erent probabilistic expert systems to be networked together. Di¤erent collections of domain experts must independently specify their judgments within each component system and update these in the light of the data they receive. But in these circumstances what overarching beliefs must the collective agree and what types of data can be admitted in the system so that the collective acts as if it were a single Bayesian? In this talk I will explore these issues and illustrate the main technical problems through discussing some simple examples. Jim Smith (Institute) Distributed Bayesian Systems Sep 2011 2 / 30