On the logic of iterated belief revision

被引:353
作者
Darwiche, A [1 ]
Pearl, J [1 ]
机构
[1] UNIV CALIF LOS ANGELES,DEPT COMP SCI,COGNIT SYST LAB,LOS ANGELES,CA 90024
关键词
iterated revision; AGM postulates; conditional beliefs; probabilistic conditioning; epistemic states; qualitative probability;
D O I
10.1016/S0004-3702(96)00038-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We show in this paper that the AGM postulates are too weak to ensure the rational preservation of conditional beliefs during belief revision, thus permitting improper responses to sequences of observations. We remedy this weakness by proposing four additional postulates, which are sound relative to a qualitative version of probabilistic conditioning. Contrary to the AGM framework, the proposed postulates characterize belief revision as a process which may depend on elements of an epistemic state that are not necessarily captured by a belief set. We also show that a simple modification to the AGM framework can allow belief revision to be a function of epistemic states. We establish a model-based representation theorem which characterizes the proposed postulates and constrains, in turn, the way in which entrenchment orderings may be transformed under iterated belief revision.
引用
收藏
页码:1 / 29
页数:29
相关论文
共 24 条
[1]   ON THE LOGIC OF THEORY CHANGE - PARTIAL MEET CONTRACTION AND REVISION FUNCTIONS [J].
ALCHOURRON, CE ;
GARDENFORS, P ;
MAKINSON, D .
JOURNAL OF SYMBOLIC LOGIC, 1985, 50 (02) :510-530
[2]  
ALCOHOURRON C, 1985, STUD LOGICA, V44, P405
[3]  
BOUTILIER C, 1996, J PHILOS LOGIC, V25, P262
[4]  
BOUTILIER C, 1993, P IJCAI 93 CHAMB
[5]  
Darwiche A., 1994, Theoretical Aspects of Reasoning About Knowledge. Proceedings of the Fifth Conference (TARK 1994), P5
[6]  
Freund M., 1994, TR9416 HEBR U JER I
[7]  
FRIEDMAN N, 1996, P 5 INT C PRINC KNOW
[8]   NONMONOTONIC INFERENCE BASED ON EXPECTATIONS [J].
GARDENFORS, P ;
MAKINSON, D .
ARTIFICIAL INTELLIGENCE, 1994, 65 (02) :197-245
[9]  
Gardenfors P., 1988, Knowledge in Flux
[10]  
Geffner H., 1992, DEFAULT REASONING CA