Predicting causality ascriptions from background knowledge: model and experimental validation

International Journal of Approximate Reasoning

Volumn 48, Issue 3, 2008, Pages 752-765

  Bonnefon, Jean François ^a   Da Silva Neves, Rui ^a   Dubois, Didier ^b   Prade, Henri ^b  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

STRUCTURAL PROPERTIES;

(I ,J) CONDITIONS; (PL) PROPERTIES; BACKGROUND KNOWLEDGE (BK); CONSEQUENCE RELATIONS; ELSEVIER (CO); EMPIRICAL DATA; EXPERIMENTAL VALIDATIONS; NON-MONOTONIC; POOR INFORMATION; STRUCTURAL EQUATIONS;

MATHEMATICAL MODELS;

EID: 45149110342     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2007.07.003     Document Type: Article

References (44)

1. Peng Y., and Reggia J.A. Abductive Inference Models for Diagnostic Problem-Solving (1990), Springer Verlag, Berlin
2. Reiter R. A theory of diagnosis from first principles. Artificial Intelligence 32 (1987) 57-95
3. Pearl J. Probabilistic Reasoning in Intelligent Systems (1988), Morgan Kaufmann, San Mateo, CA
4. Dubois D., and Prade H. Probability theory in artificial intelligence. Book review of J. Pearl's 'Probabilistic Reasoning in Intelligent Systems'. Journal of Mathematical Psychology 34 (1999) 472-482
5. Pearl J. Causality: Models, Reasoning, and Inference (2000), Cambridge University Press, Cambridge
6. de Kleer J., and Brown J.S. Theories of causal ordering. Artificial Intelligence 29 (1986) 33-61
7. Giunchiglia E., Lee J., McCain N., Lifschitz V., and Turner H. Non-monotonic causal theories. Artificial Intelligence 153 (2004) 49-104
8. McCain N., and Turner H. A causal theory of ramifications and qualifications. In: Mellish C.S. (Ed). Proceedings of the 14th International Joint Conference on Artificial Intelligence, IJCAI 95, Montréal, Québec, Canada, August 20-25 (1995), Morgan Kaufmann, San Francisco, CA 1978-1984
9. Turner H. A logic of universal causation. Artificial Intelligence 113 (1999) 87-123
10. Geffner H. Causal theories for nonmonotonic reasoning. Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, July 29-August 3 (1990), AAAI Press, Boston, MA 524-530
11. Shafer G. Causal logic. In: Prade H. (Ed). Proceedings of the 13th European Conference on Artificial Intelligence, Brighton, UK, August 23-28 (1998), Wiley, Chichester, England 711-719
12. Dubois D., Fariñas Del Cerro L., Herzig A., and Prade H. A roadmap of qualitative independence. In: Dubois D., Prade H., and Klement E.P. (Eds). Fuzzy Sets Logics and Reasoning about Knowledge. Applied Logic series vol. 15 (1999), Kluwer, Dordrecht, The Netherlands 325-350
13. D. Dubois, H. Prade, Causality and nonmonotonicity, in: Proceedings of the International Conference on Advances in Intelligent Systems - Theory and Applications (AISTA'04), Luxembourg, November 11-18, 2004.
14. D. Dubois, H. Prade, Modeling the role of (ab)normality in the ascription of causality judgements by agents, in: L. Morgenstern, M. Pagnucco (Eds.), Proceedings of IJCAI-05 Workshop on Nonmonotonic Reasoning, Action, and Change (NRAC'05), Edinburg, Scotland, August 1, 2005, pp. 22-27.
15. Bonnefon J.F., Da Silva Neves R.M., Dubois D., and Prade H. Background default knowledge and causality ascriptions. In: Brewka G., Coradeschi S., Perini A., and Traverso P. (Eds). Proceedings of the 17th European Conference on Artificial Intelligence (ECAI'06), Riva del Garda, Italy, August 29-September 1 (2006), IOS Press, Zurich 11-15
16. J.F. Bonnefon, R.M. Da Silva Neves, D. Dubois, H. Prade, Model and experimental studies of causality ascriptions, in: J. Dix, A. Hunter (Eds.), Proceedings of the 11th Workshop on Nonmonotonic Reasoning (NMR06), Lake District, UK, May 30-June 1.
17. Kayser D., and Nouioua F. Representing knowledge about norms. In: López de Mántaras R., and Saitta L. (Eds). Proceedings of the 16th European Conference on Artificial Intelligence. Valencia, Spain, August 22-27 (2004), IOS Press, Zurich 363-367
18. Kayser D., and Nouioua F. About norms and causes. International Journal of Artificial Intelligence Tools 14 (2005) 7-24
19. Kraus S., Lehmann D., and Magidor M. Nonmonotonic reasoning, preferential models and cumulative logics. Artificial Intelligence 44 (1990) 167-207
20. Lehmann D., and Magidor M. What does a conditional knowledge base entail?. Artificial Intelligence 55 (1992) 1-60
21. Benferhat S., Bonnefon J.F., and Da Silva Neves R.M. An experimental analysis of possibilistic default reasoning. In: Dubois D., Welty C.A., and Williams M.-A. (Eds). Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), Whistler, Canada, June 2-5 (2004), AAAI Press 130-140
22. Benferhat S., Bonnefon J.F., and Da Silva Neves R.M. An overview of possibilistic handling of default reasoning, with experimental studies. Synthese 146 (2005) 53-70
23. Da Silva Neves R.M., Bonnefon J.F., and Raufaste E. An empirical test for patterns of nonmonotonic inference. Annals of Mathematics and Artificial Intelligence 34 (2002) 107-130
24. Ford M. System LS: a three tiered nonmonotonic reasoning system. Computational Intelligence 20 (2004) 89-108
25. Pfeifer N., and Kleiter G.D. Coherence and nonmonotonicity in human reasoning. Synthese 146 (2005) 93-109
26. Shoham Y. Nonmonotonic reasoning and causation. Cognitive Science 14 (1990) 213-252
27. Adams E. The logic of conditionals. Inquiry 8 (1965) 166-197
28. Benferhat S., Dubois D., and Prade H. Possibilistic and standard probabilistic semantics of conditional knowledge bases. Journal of Logic and Computation 9 (1999) 873-895
29. Snow P. Diverse confidence levels in a probabilistic semantics for conditional logics. Artificial Intelligence 113 (1999) 269-279
30. Benferhat S., Dubois D., and Prade H. Nonmonotonic reasoning, conditional objects and possibility theory. Artificial Intelligence 92 (1997) 259-276
31. Bochman A. A logic for causal reasoning. In: Gottlob G., and Walsh T. (Eds). Proceedings of the 8th International Joint Conference in Artificial Intelligence (IJCAI 2003), August 9-15 (2003), Morgan Kaufmann, Acapulco, Mexico 141-146
32. Hilton D.J., and Slugoski B.R. Knowledge-based causal attribution: the abnormal conditions focus model. Psychological Review 93 (1986) 75-88
33. Gavansky I., and Wells G.L. Counterfactual processing of normal and exceptional events. Journal of Experimental Social Psychology 25 (1989) 314-325
34. Hart H.L.A., and Honoré T. Causation in the Law (1985), Oxford University Press, Oxford
35. Bell J. Causation as production. In: Brewka G., Coradeschi S., Perini A., and Traverso P. (Eds). Proceedings of the 17th European Conference on Artificial Intelligence (ECAI'06), August 29-September 1 (2006), IOS Press, Rivadel Garda, Italy, Zurich 327-331
36. von Wright G.H. Norm and Action: A Logical Enquiry (1963), Routledge, London
37. Halpern J., and Pearl J. Causes and explanations: a structural-model approach - part 1: Causes. British Journal for the Philosophy of Science 56 (2005) 843-887
38. Halpern J., and Pearl J. Causes and explanations: a structural-model approach - part 2: Explanations. British Journal for the Philosophy of Science 56 (2005) 889-911
39. Chockler H., and Halpern J. Responsibility and blame. A structural-model approach. IJCAI'03 (2003), Morgan Kaufmann, San Francisco, CA 147-153
40. Spohn W. Deterministic and probabilistic reasons and causes. Erkenntnis 19 (1983) 371-393
41. Gärdenfors P. The dynamics of belief systems: foundations vs. coherence theories. Revue Internationale de Philosophie 44 (1990) 24-46
42. Williams M.-A., Pagnucco M., Foo N., and Sims B. Determining explanations using transmutations. In: Mellish C.S. (Ed). Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI 95, Montréal, Québec, Canada, August 20-25 (1995), Morgan Kaufmann, San Francisco, CA 822-830
43. Zadeh L.A. Causality is indefinable - towards a theory of hierarchical definability. In: Meech J.A., Veiga M.M., Kawazoe Y., and LeClair S.R. (Eds). Intelligence in a Materials World: Selected Papers from IPMM-2001 (2002), CRC Press, Boca Raton, FL 29-34
44. Benferhat S., Dubois D., Garcia L., and Prade H. On the transformation between possibilistic logic bases and possibilistic causal networks. International Journal of Approximate Reasoning 29 (2002) 135-173