A rank based description language for qualitative preferences

Frontiers in Artificial Intelligence and Applications

Volumn 110, Issue , 2004, Pages 303-307

  Brewka, Gerhard ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTION LANGUAGES; PREFERENCE RELATION; PROBLEM SOLUTIONS;

KNOWLEDGE BASED SYSTEMS;

EID: 85017337899     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (16)

1. H. Andreka, M. Ryan, and P.-Y. Schobbens, Operators and laws for combining preference relations, Journal of Logic and Computation, 12(1), 13-53, (2002).
2. K.J. Arrow, A difficulty in the concept of social welfare, Journal of Political Economy, 58, 328-346, (1950).
3. S. Benferhat, C. Cayrol, D. Dubois, J. Lang, and H. Prade, Inconsistency management and prioritized syntax-based entailment, in Proceedings International Joint Conference on Artificial Intelligence, IJCAI-93, pp. 640-645. Morgan Kaufmann, (1993).
4. S. Benferhat, D. Dubois, S. Kaci, and H. Prade, 'Bipolar representation and fusion of preferences in the possibilistic logic framework', in Proceedings of the Eighth International Conference on Principles of Knowledge Representation and Reasoning (KR-02), Toulouse, France, April 22-25, 2002, pp. 421-448. Morgan Kaufmann, (2002).
5. S. Benferhat, D. Dubois, and H. Prade, Representing default rules in possibilistic logic, in Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning, KR-92, Cambridge, n 2002, pp. 673-684. Morgan Kaufmann, (2002).
6. S. Bistarelli, U. Montanari, and F. Rossi, Semiring-based constraint solving and optimization, Journal of the ACM, 44(2), 201-236, (1997).
7. C. Boutilier, R.I. Brafman, H.H. Hoos, and D. Poole, 'Reasoning with conditional ceteris paribus preference statements', in Proc. Uncertainty in Artificial Intelligence, UAI-99, (1999).
8. G. Brewka, 'Preferred subtheories - An extended logical framework for default reasoning', in Proc. International Joint Conference on Artificial Intelligence, IJCAI 89, pp. 1043-1048, (1989).
9. G. Brewka, Complex preferences for answer set optimization, in Proceedings 9th International Conference on Principles of Knowledge Representation and Reasoning, KR-04. Morgan Kaufmann, (2004).
10. H. Fargier, J. Lang, and T. Schiex, Selecting preferred solutions in fuzzy constraint satisfaction problems, in Proceedings of the First European Congress on Fuzzy and Intelligent Technologies, (1993).
11. E.C. Freuder and R.J. Wallace, Partial constraint satisfaction, Artificial Intelligence, 58(1), 21-70, (1992).
12. M. Goldszmidt and J. Pearl, System Z+: A formalism for reasoning with variable-strength defaults, in Proc. 9th National Conference on TArtificial Intelligence, pp. 399-404. Morgan Kaufmann, (1991).
13. J. Lang, Logical preference representation and combinatorial vote, Annals of Mathematics and Artificial Intelligence, to appear, (2004).
14. J. Pearl, System Z: A natural ordering of defaults with tractable applications to default reasoning, in Proc. 3rd Conference on Theoretical Aspects of Reasoning about Knowledge, ed., M. Vardi, pp. 121-135. Morgan Kaufmann, (1990).
15. T. Schiex, H. Fargier, and G. Verfaillie, Valued constraint satisfaction problems: Hard and easy problems, in Proceedings of the 14th International Joint Conference on Artificial Intelligence, IJCAI-95, pp. 631- 637, (1995).
16. R. Son and E. Pontelli, Planning with preferences using logic programming, in Proc. 7th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 04, pp. 247-260. Springer LNAI 2923, (2004).