1996 年 11 巻 5 号 p. 725-734
The purpose of this paper is to develop a new method for constructing Bayesian belief networks. The unique feature of this study is that constructing Bayesian belief network process is regarded as decision making process. In terms of the expected utility introduced from this view point, while adding arcs procedure does not attain the maximization of the expected utility, the reducing arcs procedure, which is introduced from the maximization of expected utility, attains it. We performed some stochastic simulation experiments, the results of which show that this procedure found an optimum structure.