Making argumentation more believable

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2004, Pages 269-274

  Hunter, Anthony ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE BASED SYSTEMS; LAWS AND LEGISLATION; MEDICINE; PROFESSIONAL ASPECTS; SET THEORY; TREES (MATHEMATICS);

ARGUMENTATION; FORMAL REPRESENTATION; JOURNALISM; PROFESSIONAL DOMAINS;

FORMAL LOGIC;

EID: 9444231679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Besnard, P., and Hunter, A. 2001. A logic-based theory of deductive arguments. Artificial Intelligence 128:203-235.
2. Chesnevar, C; Maguitman, A.; and Loui, R. 2001. Logical models of argument. ACM Computing Surveys 32:337-383.
3. Dalai, M. 1988, Investigations into a theory of knowledge base revision: Preliminary report. In Proceedings of the 7th National Conference on Artificial Intelligence (AAAI'88), 3-7. MIT Press.
4. Dubois, D.; Lang, J.; and Prade, H. 1994. Possibilistic logic. In Handbook of Logic in Artificial Intelligence and Logic Programming, volume 3. Oxford University Press. 439-513.
5. Hunter, A. 2003. Evaluating the significance of inconsistency. In Proceedings of the International Joint Conference on AI (IJCAI'03), 468-473. Morgan Kaufmann.
6. Konieczny, S.; Lang, J.; and Marquis, P. 2003. Quantifying information and contradiction in propositional logic through epistemic actions. In Proceedings of the 18th International Joint Conference on Artificial Intellignce (IJCAI'03), 106-111.
7. Lozinskii, E. 1994. Information and evidence in logic systems. Journal of Experimental and Theoretical Artificial Intelligence 6:163-193.
8. Prakken, H., and Vreeswijk, G. 2000. Logical systems for defeasible argumentation. In Gabbay, D., ed., Handbook of Philosophical Logic. Kluwer.