Solving Asymmetric Decision Problems with Influence Diagrams

نویسندگان

  • Runping Qi
  • Nevin Lianwen Zhang
  • David L. Poole
چکیده

While influence diagrams have many ad­ vantages as a representation framework for Bayesian decision problems, they have a se­ rious drawback in handling asymmetric de­ cision problems. To be represented in an influence diagram, an asymmetric decision problem must be symmetrized. A consid­ erable amount of unnecessary computation may be involved when a symmetrized influ­ ence diagram is evaluated by conventional al­ gorithms. In this paper we present an ap­ proach for avoiding such unnecessary compu­ tation in influence diagram evaluation.

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تاریخ انتشار 1994