Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: Solving symmetric Bayesian decision prob­ lems is a computationally intensive task to perform regardless of the algorithm used. In this paper we propose a method for improv­ ing the efficiency of algorithms for solving Bayesian decision problems. The method is based on the principle of lazy evalua­ tion a principle recently shown to improve the efficiency of inference in Bayesian net­ works. The basic idea is to maintain de­ compositions of potentials and to postpone computations for as long as possible. The efficiency improvements obtained with the lazy evaluation based method is emphasized through examples. Finally, the lazy evalu­ ation based method is compared with the HUGIN and valuation-based systems architec­ tures for solving symmetric Bayesian decision problems.

Lazy Evaluation of Symmetric Bayesian Decision Problems