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Volumn 19, Issue 3-4, 1998, Pages 231-246

A note on conditional logics and entropy

Author keywords

Conditional logic; Maximum entropy; Minimum cross entropy; Nonmonotonic inference; Probabilistic logic; Quantified uncertain reasoning

Indexed keywords


EID: 0347877228     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0888-613X(98)10007-5     Document Type: Article
Times cited : (8)

References (17)
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    • Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
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    • (1980) IEEE Transactions on Information Theory , vol.26 , pp. 26-37
    • Shore, J.E.1    Johnson, R.W.2
  • 5
    • 84913827229 scopus 로고
    • Comments on and correction to axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
    • R.W. Johnson, J.E. Shore, Comments on and correction to axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy, IEEE Transactions on Information Theory IT-29 (6) (1983) 942-943.
    • (1983) IEEE Transactions on Information Theory , vol.IT-29 , Issue.6 , pp. 942-943
    • Johnson, R.W.1    Shore, J.E.2
  • 6
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    • I-divergence geometry of probability distributions and minimization problems
    • I. Csiszár, I-divergence geometry of probability distributions and minimization problems, Annals of Probability 3 (1975) 146-158.
    • (1975) Annals of Probability , vol.3 , pp. 146-158
    • Csiszár, I.1
  • 9
    • 0022830749 scopus 로고
    • Relative entropy, probabilistic inference and AI
    • L.N. Kanal, J.F. Lemmer (Eds.), North-Holland, Amsterdam
    • J.E. Shore, Relative entropy, probabilistic inference and AI, in: L.N. Kanal, J.F. Lemmer (Eds.), Uncertainty in Artificial Intelligence, North-Holland, Amsterdam, 1986, pp. 211-215.
    • (1986) Uncertainty in Artificial Intelligence , pp. 211-215
    • Shore, J.E.1
  • 11
    • 0020879288 scopus 로고
    • A method of computing generalized Bayesian probability values for expert systems
    • Karlsruhe, West Germany
    • P. Cheeseman, A method of computing generalized Bayesian probability values for expert systems, Proceedings of the Eighth International Joint Conference in AI (IJCAI-83), Karlsruhe, West Germany, 1983, pp. 198-202.
    • (1983) Proceedings of the Eighth International Joint Conference in AI (IJCAI-83) , pp. 198-202
    • Cheeseman, P.1
  • 12
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    • Generalized Bayesian updating of incompletely specified distributions
    • J.F. Lemmer, Generalized Bayesian updating of incompletely specified distributions, Large Scale Systems 5 (1983) 51-68.
    • (1983) Large Scale Systems , vol.5 , pp. 51-68
    • Lemmer, J.F.1
  • 13
    • 0001006209 scopus 로고
    • Local computations with probabilities in graphical structures and their applications to expert systems
    • S.L. Lauritzen, D.J. Spiegelhalter, Local computations with probabilities in graphical structures and their applications to expert systems, Journal of the Royal Statistical Society B 50 (2) (1988) 415-448.
    • (1988) Journal of the Royal Statistical Society B , vol.50 , Issue.2 , pp. 415-448
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 16
    • 0031652218 scopus 로고    scopus 로고
    • Characterizing the principle of minimum cross-entropy within a conditional -logical framework
    • G. Kern-Isberner, Characterizing the principle of minimum cross-entropy within a conditional -logical framework, Artificial Intelligence 98 (1998) 169-208.
    • (1998) Artificial Intelligence , vol.98 , pp. 169-208
    • Kern-Isberner, G.1
  • 17
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    • Computing the maximum-entropy extension of given discrete probability distributions
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    • Malvestuto, F.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.