Polynomial solvability of cost-based abduction

被引:24
|
作者
Santos, E [1 ]
Santos, ES [1 ]
机构
[1] YOUNGSTOWN STATE UNIV,DEPT COMP & INFORMAT SCI,YOUNGSTOWN,OH 44555
关键词
D O I
10.1016/0004-3702(96)00016-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent empirical studies we have shown that many interesting cost-based abduction problems can be solved efficiently by considering the linear program relaxation of their integer program formulation. We tie this to the concept of total unimodularity from network flow analysis, a fundamental result in polynomial solvability. From this, we can determine the polynomial solvability of abduction problems and, in addition, present a new heuristic for branch and bound in the non-polynomial cases.
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页码:157 / 170
页数:14
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