From information to probability: An axiomatic approach - Inference is information processing

International Journal of Intelligent Systems

Volumn 18, Issue 4, 2003, Pages 383-403

  Rödder, Wilhelm ^a   Kern Isberner, Gabriele ^a  

^a UNIVERSITY OF HAGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL LOGIC; INFERENCE ENGINES; ITERATIVE METHODS; KNOWLEDGE ACQUISITION; OPTIMIZATION; PROBABILITY; QUERY LANGUAGES;

AXIOMATIC APPROACH; THREE VALUED LOGIC;

INFORMATION TECHNOLOGY;

EID: 0345381807     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.10094     Document Type: Article

References (15)

1. Hartley RVL, Transmission of information. Bell Syst Tech J 1928;7:535-563.
2. Shannon CE. Mathematical theory of communication. Bell Syst Tech J 1948;27:379-423, 623, 656.
3. Jensen FV, Jensen F. Optimal junction trees. In de Mantaras RL, Poole D, editors. Proc 10th Conf on Uncertainty in Artificial Intelligence (UAI-94). San Francisco, CA: Morgan Kaufman Publishers; 1994, pp 360-366.
4. Kern-Isberner G. Conditionals in nonmonotonic reasoning and belief revision. Lecture Notes in Artificial Intelligence. Berlin, New York: Springer; 2001, p 2087.
5. Calabrese PG. Deduction and inference using conditional logic and probability. In: Goodman LR, Gupta MM, Nguyen HT, Rogers GS, editors. Conditional logic in expert systems. Amsterdam: Elsevier Science; 1991, pp 71-100.
6. de Finetti B. Induction and statistics. New York: Wiley; 1972.
7. Rescher N. Many-valued logics. New York: McGraw-Hill; 1969.
8. Dubois D, Prade H. The logical view of conditioning and its application to possibility and evidence theories. Int J Approx Reason 1990;4:23-46.
9. Dubois D, Prade H. Conditioning, non-monotonic logic and non-standard uncertainty models. In: Goodman IR, Gupta MM, Nguyen HT, Rogers GS, editors. Conditional logic in expert systems. Amsterdam: Elsevier Science; 1991. pp 115-158.
10. Rödder W. Conditional logic and the principle of entropy. Artif Intell 2000;117:83-106.
11. Rödder W, Meyer C-H. Coherent knowledge processing at maximum entropy by SPIRIT. In: Horvitz E, E. Jensen F, editors. Proc. 12th Conf on Uncertainty in Artificial Intelligence. San Francisco, CA: Morgan Kaufmann; 1996, pp 470-476.
12. Rödder W. Knowledge processing under information fidelity. Proc 12th Int Joint Conf on AI (IJCAI-2001). San Francisco: Morgan Kaufmann; 2001. pp 749-754.
13. Csiszàr I. I-divergence geometry of probability distributions and minimisation problems. Ann Prob 1975;3(1):146-158.
14. Sombé L. Schließen bei unsicherem Wissen in der Künstlichen Intelligenz. Wiesbaden, Germany: Vieweg; 1992. (In German)
15. Meyer C-H, Korrektes Schließen bei unvollständiger information. Europäische Hochschulschriften, Peter Lang, Frankfurt a/M., 1998.