Interpreting a contingency table by rules

International Journal of Intelligent Systems

Volumn 11, Issue 6, 1996, Pages 327-346

  Kern Isberner, Gabriele ^a   Reidmacher, Heinz Peter ^a  

^a UNIVERSITY OF HAGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; INFORMATION THEORY; KNOWLEDGE BASED SYSTEMS; PROBABILISTIC LOGICS; RANDOM PROCESSES; STATISTICAL METHODS;

CONTINGENCY TABLES; INTENSIONAL REASONING; JOINT PROBABILITY DISTRIBUTION; RANDOM VARIABLES;

KNOWLEDGE REPRESENTATION;

EID: 0030169757     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/(sici)1098-111x(199606)11:6<327::aid-int1>3.0.co;2-p     Document Type: Article

References (33)

1. S.L. Lauritzen, Lectures on Contingency Tables, Aalborg University Press, Aalborg, Denmark, 1982.
2. R. Reiter, "A logic for default reasoning," Artificial Intelligence, 13, 81-132 (1980).
3. D. Dubois and H. Prade, "An introduction to possibilistic and fuzzy logics," in G. Shafer and J. Pearl, Eds., Readings in Uncertain Reasoning, Morgan Kaufmann, San Mateo, CA, 1988.
4. D. McDermott and J. Doyle, "Non-monotonic logic. I," Artificial Intelligence, 13, 41-72 (1980).
5. L. Sombé, Schließen bei unsicherem Wissen in der Künstlichen Intelligenz, Vieweg Verlag, Braunschweig, Wiesbaden, 1992.
6. N.J. Nilsson, "Probabilistic logic," Artificial Intelligence, 28, 71-87 (1986).
7. J. Pearl, Probabilistic Reasoning in Intelligent Systems, Morgan Kaufmann, San Mateo, CA, 1988.
8. N.J. Nilsson and M.R. Genesereth, Logische Grundlagen der Künstlichen Intelligenz, Vieweg, Braunschweig/Wiesbaden, 1989.
9. M.M. Richter, Prinzipien der Künstlichen Intelligenz, Teubner Verlag, Stuttgart, 1992.
10. F. Bacchus, Representing and Reasoning with Probabilistic Knowledge, MIT Press, Cambridge, MA, 1990.
11. G. Gerla, "The probability that Tweety is able to fly," International Journal of Intelligent Systems, 9, 403-409 (1994).
12. J.F. Lemmer, "Generalized Bayesian updating of incompletely specified distributions," Large Scale Systems, 5, 51-68 (1983).
13. W. Rödder, "Symmetrical probabilistic intensional reasoning in inference networks in transition," in Proceedings of the World Congress on Expert Systems, Orlando, FL, 1996 pp. 530-540.
14. D.J. Spiegelhalter, A.P. Dawid, S.L. Lauritzen and R.G. Cowell, "Bayesian analysis in expert systems," Statistical Science, 8, 219-247 (1993).
15. H.P. Reidmacher, "Logisches Schließen bei Unsicherheit - Inferenzen in einer probabilistischen Wissensbasis bei induktiv und deduktiv erlernten Informationen," Dissertation am FB Wiwi, FeU Hagen, 1992.
16. M.M. Richter, Logikkalküle, Teubner Verlag, Stuttgart, 1978.
17. H.P. Reidmacher and G. Kern-Isberner, "Unsichere logische Regeln in Expertensystemen mit probabilistischer Wissensbasis," Diskussionsbeitrag Nr. 206, Fern Universität Hagen, 1993.
18. J. Pearl, "Probabilistic semantics for nonmonotonic reasoning: A survey," in G. Shafer and J. Pearl, Eds., Readings in Uncertain Reasoning, Morgan Kaufmann, San Mateo, CA, 1989.
19. E.W. Adams, The Logic of Conditionals, D. Reidel, Dordrecht, 1975.
20. H.T. Nguyen and I.R. Goodman, "On modelling of if-then rules for probabilistic inference," International Journal of Intelligent Systems, 9, 411-418 (1994).
21. P. Spirtes, C. Glymour and R. Scheines, Causation, Prediction and Search, Springer-Verlag, New York, 1993.
22. T.S. Verma and J. Pearl, "A theory of inferred causation," in J.A. Allen, R. Fikes, and E. Sandewall, Eds., Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, Morgan Kaufmann, San Mateo, CA, 1991.
23. P. Cheeseman and R.W. Oldford, Selecting Models from Data, Springer-Verlag, New York, 1994.
24. G.F. Cooper, "An algorithm for computing probabilistic propositions," in L.N. Kanal, T.S. Levitt, and J.F. Lemmer, Eds., Uncertainty in Artificial Intelligence, 3, North-Holland, Amsterdam, 1989, pp. 3-14.
25. D. Poole, "Logic programming, abduction and probability," New Generation Computing, 11, 377-400 (1993).
26. S.L. Tanimoto, KI - Die Grundlagen, Oldenbourg, München Wien, 1990.
27. G. Böhme, Einstieg in die Mathematische Logik, Hanser, München, 1981.
28. P. Suppes, "Probabilistic inference and the concept of total evidence," in J. Hintikka and P. Suppes, Eds., Aspects of Inductive Logic, North-Holland, Amsterdam, 1966, pp. 49-65.
29. G.E. Hoernes and M.F. Heilweil, Boolesche Algebra und Logik-Entwurf, Oldenbourg, München Wien, 1972.
30. W. Rödder and Xu Longgui, "Behandlung logischer Funktionen in einer probabilistischen Wissensbasis," in Proceedings of DGOR/ÖGOR, Aachen 1992, Springer-Verlag, Berlin 1992, pp. 462-469.
31. S.L. Lauritzen and D.J. Spiegelhalter, "Local computations with probabilities in graphical structures and their applications to expert systems," Journal of the Royal Statistical Society B, 50, 415-448 (1988).
32. R.E. Neapolitan, Probabilistic Reasoning in Expert Systems, Wiley-Interscience, New York, 1989.
33. R. Carnap, The Logical Foundations of Probability, University of Chicago Press, Chicago, 1963.