Mixed Influence Diagrams

Abstract

This paper presents an architecture for exact evaluation of influence diagrams containing a mixture of continuous and discrete variables. The proposed architecture is the first architecture for efficient exact solution of linear-quadratic conditional Gaussian influence diagrams with an additively decomposing utility function. The solution method as presented in this paper is based on the idea of lazy evaluation. The computational aspects of the architecture are illustrated by example.