Reasoning with various kinds of preferences: Logic, non-monotonicity, and algorithms

Annals of Operations Research

Volumn 163, Issue 1, 2008, Pages 89-114

  Kaci, Souhila ^a   Van Der Torre, Leendert ^b  

^a UNIVERSITÉ D'ARTOIS   (France)

^b UNIVERSITY OF LUXEMBOURG   (Luxembourg)

Author keywords

Logic of preferences; Preference logic

Indexed keywords

EID: 49249089968     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-008-0331-4     Document Type: Article

References (39)

1. Benferhat, S., & Kaci, S. (2001). A possibilistic logic handling of strong preferences. In International Fuzzy Systems Association (IFSA'01) (pp. 962-967).
2. Benferhat, S., Dubois, D., & Prade, H. (1992). Representing default rules in possibilistic logic. In Proceedings of 3rd international conference of principles of knowledge representation and reasoning (KR'92) (pp. 673-684).
3. S. Benferhat D. Dubois H. Prade 1999 Possibilistic and standard probabilistic semantics of conditional knowledge bases Logic and Computation 9 6 873 895
4. S. Benferhat D. Dubois H. Prade 2001 Towards a possibilistic logic handling of preferences Applied Intelligence 14 3 303 317
5. Benferhat, S., Dubois, D., Kaci, S., & Prade, H. (2002a). Bipolar possibilistic representations. In 18th international conference on uncertainty in artifcial intelligence (UAI'02) (pp. 45-52).
6. Benferhat, S., Dubois, D., Kaci, S., & Prade, H. (2002b). Bipolar representation and fusion of preferences in the possibilistic logic framework. In 8th international confenrence on principle of knowledge representation and reasoning (KR'02) (pp. 421-432).
7. S. Benferhat D. Dubois S. Kaci H. Prade 2006 Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions International Journal on Multi-Sensor, Multi-Source Information Fusion 7 135 150
8. R. Booth J. Paris 1998 A note on the rational closure of knowledge bases with both positive and negative knowledge Journal of Logic, Language and Information 7 2 165 190
9. Bosi, G., Brafman, R. I., Chomicki, J., & Kießling, W. (Eds.) (2004). Preferences: specification, inference, applications, Dagstuhl Seminar Proceedings 04271.
10. Boutilier, C. (1994). Toward a logic for qualitative decision theory. In Proceedings of the 4th international conference on principles of knowledge representation (KR'94) (pp. 75-86).
11. C. Boutilier R. Brafman C. Domshlak H. Hoos D. Poole 2004 CP-nets: A tool for representing and reasoning with conditional ceteris paribus preference statements Journal of Artificial Intelligence Research 21 135 191
12. Brafman, R., & Junker, U. (Eds.) (2005). Advances in preference handling, workshop of the international joint conference on artificial intelligence (IJCAI'05).
13. J. T. Cacioppo G. G. Bernston 1999 The affect system: Architecture and operating characteristics Current Directions in Psychological Science 8 5 133 137
14. J. T. Cacioppo W. L. Gardner G. G. Bernston 1997 Beyond bipolar conceptualizations and measures: The case of attitudes and evaluative space Personality and Social Psychology Review 1 1 3 25
15. de Saint-Cyr, D.F., Lang, J., & Schiex, T. (1994). Penalty logic and its link with dempster-shafer theory. In Proceedings of 10th international conference on uncertainty in artificial intelligence (UAI'94) (pp. 204-211).
16. Domshlak, C., Venable, B., Rossi, F., & Walsh, T. (2003). Reasoning about soft constraints and conditional preferences. In International joint conference on artificial intelligence (IJCAI'03) (pp. 215-220).
17. J. Doyle R. H. Thomason 1999 Background to qualitative decision theory AI Magazine 20 2 55 68
18. Doyle, J., & Wellman, M. (1994). Representing preferences as cetaris paribus comparatives. In Proceedings of the AAAI spring symposium on decision-theoretic planning, (pp. 69-75).
19. Dubois, D., Kaci, S., & Prade, H. (2004a). Bipolarity in reasoning and decision - an introduction. the case of the possibility theory framework. In Proceedings of information processing and management of uncertainty in knowledge-based systems conference, IPMU'04 (pp. 959-966).
20. Dubois, D., Kaci, S., & Prade, H. (2004b). Ordinal and absolute representations of positive information in possibilistic logic. In Proceedings of the International Workshop on Nonmonotonic Reasoning (NMR' 2004), Whistler, June (pp. 140-146).
21. P. C. Fishburn 1999 Preference structures and their numerical representations Theoretical Computer Science 217 359 383
22. J. Y. Halpern 1997 Defining relative likelihood in partially ordered preferential structures Journal of Artificial Intelligence Research 7 1 24
23. S. O. Hansson 1996 What is ceteris paribus preference? Journal of Philosophical Logic 25 307 332
24. Special issue on preferences of computational intelligence. (2004). Computational Intelligence, 20(2).
25. Junker, U. (Ed.) (2002). Preferences in AI and CP: symbolic approaches, workshop of the eighteenth national conference on artificial intelligence (AAAI02). Technical Report WS-02-13. AAAI.
26. Kaci, S., & van der Torre, L. (2005a). Algorithms for a nonmonotonic logic of preferences. In Symbolic and quantitative approaches to reasoning with uncertainty, 8th European conference, ECSQARU 2005, LNCS 3571 (pp. 281-292), Springer.
27. Kaci, S., & van der Torre, L. (2005b). Nonmonotonic reasoning with various kinds of preferences. In ijcai'05 workshop on preferences (page to appear).
28. Krantz, D. H., Luce, R. D., Suppes, P., & Tversky, A. (1971). Foundations of measurement: Vol. 1 Additive and polynomial representations. New York: Academic Press.
29. J. Lang L. van der Torre E. Weydert 2002 Utilitarian desires Autonomous Agents and Multi-Agent Systems 5 329 363
30. Lang, J., van der Torre, L., & Weydert, E. (2003). Hidden uncertainty in the logical representation of desires. In Proceedings of eighteenth international joint conference on artificial intelligence (IJCAI2003) (pp. 685-690).
31. Neves, R., & Raufaste, E. (2004). A psychological study of bipolarity in the possibilistic framework. In 10th international conference on information processing and management of uncertainty in knowledge-based systems (IPMU'04), Perugia.
32. Pearl, J. (1990). System Z: A natural ordering of defaults with tractable applications to default reasoning. In R. Parikh (Ed.), Proceedings of the 3rd conference on theoretical aspects of reasoning about knowledge (TARK'90) (pp. 121-135). San Mateo: Morgan Kaufmann.
33. E. T. Rolls 2000 Precis of "brain and emotion" Behavioral and Brain Sciences 23 2 177 234
34. Roubens, M., & Vincke, Ph. (1985). Preference modeling. LNEMS 250. Berlin: Springer.
35. Shoham, Y. (1987). Nonmonotonic logics: meaning and utility. In Proceedings of IJCAI 1987 (pp. 388-393).
36. Tan, S., & Pearl, J. (1994). Qualitative decision theory. In Proceedings of the national conference on artificial intelligence (AAAI'94) (pp. 928-933).
37. Thomason, R. H., & Horty, J. F. (1996). Nondeterministic action and dominance: foundations for planning and qualitative decision. In Proceedings of TARK 1996 (pp. 229-250).
38. L. van der Torre E. Weydert 2001 Parameters for utilitarian desires in a qualitative decision theory Applied Intelligence 14 285 301
39. von Wright, G. H. (1963). The logic of preference. University of Edinburgh Press.