人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
意思決定アプローチによるBayesian Networkの因果モデル構築
植野 真臣
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解説誌・一般情報誌 フリー

1996 年 11 巻 5 号 p. 725-734

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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.

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© 1996 人工知能学会
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