Branching constraint satisfaction problems and Markov decision problems compared

被引:7
作者
Fowler, DW [1 ]
Brown, KN [1 ]
机构
[1] Univ Aberdeen, Dept Comp Sci, Aberdeen, Scotland
关键词
constraint satisfaction; uncertainty; Markov decision problems;
D O I
10.1023/A:1021853506616
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Branching Constraint Satisfaction Problems (BCSPs) model a class of uncertain dynamic resource allocation problems. We describe the features of BCSPs, and show that the associated decision problem is NP-complete. Markov Decision Problems could be used in place of BCSPs, but we show analytically and empirically that, for the class of problems in question, the BCSP algorithms are more efficient than the related MDP algorithms.
引用
收藏
页码:85 / 100
页数:16
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