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arXiv 1203.3531cs.AI
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用分支定界搜索法求解多级影响图

Solving Multistage Influence Diagrams using Branch-and-Bound Search

Mississippi State University(密西西比州立大学)

Changhe Yuan, Xiaojian Wu, Eric A. Hansen

摘要:

以前在文献中已经提出了一种求解影响图的分支定界方法,但似乎从未被实施和评估-显然是由于计算分支定界搜索的有效边界的困难。在本文中,我们描述了如何有效地计算有效的边界,我们开发了一个实际的实现的深度优先分支定界搜索的影响图评估,优于现有的方法,解决多阶段的影响图。

英文摘要:

A branch-and-bound approach to solving influ- ence diagrams has been previously proposed in the literature, but appears to have never been implemented and evaluated - apparently due to the difficulties of computing effective bounds for the branch-and-bound search. In this paper, we describe how to efficiently compute effective bounds, and we develop a practical implementa- tion of depth-first branch-and-bound search for influence diagram evaluation that outperforms existing methods for solving influence diagrams with multiple stages.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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