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Solving Asymmetric Decision Problems with Influence Diagrams

机译:用影响图解决非对称决策问题

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While influence diagrams have many advantages as a representation framework for Bayesian decision problems, they have a serious drawback in handling asymmetric decision problems. To be represented in an influence diagram, an asymmetric decision problem must be symmetrized. A considerable amount of unnecessary computation may be involved when a symmetrized influence diagram is evaluated by conventional algorithms. In this paper we present an approach for avoiding such unnecessary computation in influence diagram evaluation.
机译:尽管影响图作为贝叶斯决策问题的表示框架具有许多优点,但它们在处理非对称决策问题方面存在严重缺陷。要在影响图中表示,必须对称化非对称决策问题。当通过常规算法评估对称影响图时,可能涉及大量不必要的计算。在本文中,我们提出了一种避免在影响图评估中进行此类不必要的计算的方法。

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