Argumentation databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2916, Issue , 2003, Pages 178-193

  Pradhan, Shekhar ^a  

^a VASSAR COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE VALUES; DEGREE OF CONFIDENCE;

QUERY PROCESSING; LOGIC PROGRAMMING; QUERY LANGUAGES;

QUERY LANGUAGES; DATABASE SYSTEMS;

EID: 0348155925     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24599-5_13     Document Type: Conference Paper

References (17)

1. M. Arenas, L. Bertossi, and J. Chomicki. Consistent query answers in inconsistent databases. In Proceedings of the 18th Symposium on Principles of Database Systems, pages 68-79, 1999.
2. A. Bonderenko, P.M. Dung, R.A. Kowalski, and F. Toni. An abstract argumentation theoretic approach to default reasoning. Artificial Intelligence, 93:63-101, 1997.
3. P.M. Dung. The acceptability of arguments and its fundamental role in nonmontonic reasoning, logic programming, and n-person games. Artificial Intelligence, 77:321-357, 1995.
4. T. Gaasterland and J. Lobo. Qualified answers that reflect user needs and preferences. In Proceedings of the 20th VLDB Conference, 1994.
5. th International Conference and Symposium on Logic Programming, pages 1070-1080, Seattle, Washington, August 15-19 1988.
6. M. Kifer and V.S. Subrahmanian. Theory of generalized annotated logic programming and its applications. Journal of Logic Programming, 12:335-368, 1992.
7. R. Kowalski and F. Toni. Abstract argumentation. Artificial Intelligence and Law, 4:275-296, 1996.
8. R.P. Loui. Defeat among arguments: a system of defeasible inference. Computational Intelligence, 2:100-106, 1987.
9. L. Lakshmanan and F. Sadri. On A Theory of Probabilistic Deductive Databases. Theory and Practice of Logic Programming, 1:5-42, 2001.
10. J.L. Pollock. Defeasible reasoning. Cognitive Science, 11:481-518, 1987.
11. Shekhar Pradhan. Semantics of Normal Logic Programs and Contested Information. In Proc. 11th IEEE Symposium on Logic in Computer Science, 1996.
12. Shekhar Pradhan. Logic Programs with Contested Information. In M. Maher ed. Proc. Joint International Conference and Symposium on Logic Programming, MIT Press, 1996.
13. Shekhar Pradhan. Reasoning with conflicting information in artificial intelligence and database theory. Technical Report CS-TR-4211, Dept of Computer Science, University of Maryland, College Park, Md 20742, 2001. Ph.D. dissertation.
14. Shekhar Pradhan. Connecting Databases with Argumentation. In Web Knowledge Management and Decision Support ed. by Oskar Bartenstein, Ulrich Geske, Markus Hannebauer, and Osamu Yoshie. LNAI 2543, Springer Verlag, 2003.
15. Henry Praaken and Giovanni Sartor. A system for defeasible argumentation with defeasible priorities. In Proc. of the International Conference on Formal Aspects of Practical Reasoning. Springer Verlag Lecture Notes in Artificial Intelligence No. 1085, 1996.
16. Henry Praaken and Giovanni Sartor. Argument-based extended logic programming with defeasible priorities. Journal of Applied Non-classical Logics, 7:25-75, 1997.
17. V.S. Subrahmanian. Amalgamating knowledge bases. ACM Transactions on Database Systems, 19:291-331, 1994.