Building user argumentative models

Applied Intelligence

Volumn 32, Issue 1, 2010, Pages 131-145

  Monteserin, Ariel ^a   Amandi, Analía ^a,b  

^a Universidad Nacional Del Centro de la Pcia Bs As   (Argentina)

^b Consejo Nacional de Investigaciones Científicas y Técnicas ^*  (Argentina)

Author keywords

Argumentation; Generalised association rules; User modelling

Indexed keywords

GENERALISED ASSOCIATION RULES; INTERESTING RULES; KNOWLEDGE DOMAINS; MEETING SCHEDULING; USER MODELLING; WORK FOCUS;

ASSOCIATION RULES;

ASSOCIATIVE PROCESSING;

EID: 75849135408     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-008-0139-6     Document Type: Article

References (18)

1. Ilgen DR, Hulin CL (2000) Computational modeling of behavior organizations: the third scientific discipline. American Psychological Association, Washington. Chap. 1
2. Hedberg B (1981) How organizations learn and unlearn. In: Nystron PC, Starbuck WH (eds) Handbook of organizational design. Oxford University Press, New York, pp 3-27
3. E Stein V Zwass 1995 Actualizing organizational memory with information systems Inform Syst Res 6 2 85 117 10.1287/isre.6.2.85
4. R Srikant R Agrawal 1997 Mining generalized association rules Future Gener Comput Syst 13 2-3 161 180 10.1016/S0167-739X(97)00019-8
5. S Kraus K Sycara A Evenchik 1998 Reaching agreements through argumentation: a logical model and implementation Artif Intell 104 1-2 1 69 0908.68033 10.1016/S0004-3702(98)00078-2 1653403
6. Brusilovsky P, Millán E (2007) User models for adaptive hypermedia and adaptive educational systems. In: The adaptive web. Springer, Berlin, pp 3-53 (Pubitemid 351189193)
7. Karlins M, Abelson HI (1970) Persuasion: how opinions and attitudes are changed. Springer, Berlin
8. O'Keefe D (1990) Persuasion: theory and research. SAGE, London
9. Sierra C, Jennings NR, Noriega P, Parsons S (1998) A framework for argumentation-based negotiation. In: Proceedings of the 4th international workshop on agent theories, architectures and languages, Rode Island, USA, pp 177-192
10. Agrawal R, Imieliński T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD international conference on management of data, Washington, DC, pp 207-216
11. Shintani T, Kitsuregawa M (1998) Parallel mining algorithms for generalized association rules with classification hierarchy. In Proceedings of the ACM SIGMOD international conference on management of data, SIGMOD 1998, Seattle, WA, pp 25-36
12. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference very large data bases, Santiago de Chile, Chile, pp 487-499
13. I Rahwan SD Ramchurn NR Jennings P McBurney S Parsons L Sonenberg 2003 Argumentation-based negotiation Knowl Eng Rev 18 4 343 375 10.1017/ S0269888904000098
14. P Maes 1994 Agents that reduce work and information overload Commun ACM 37 7 30 40 10.1145/176789.176792
15. Kautz H (1987) A formal theory of plan recognition. PhD thesis, Department of Computer Science, University of Rochester
16. E Charniak RP Goldman 1993 A Bayesian model of plan recognition Artif Intell 64 1 53 79 10.1016/0004-3702(93)90060-O
17. Ramchurn SD, Jennings R, Sierra C (2003) Persuasive negotiation for autonomous agents: a rhetorical approach. In: Proceedings of the IJCAIl workshop on computational models of natural argument, Acapulco, Mexico, pp 9-17
18. Zukerman I, George S, George M (2003) Incorporating a user model into an information theoretic framework for argument interpretation. In: Proceedings of the ninth international conference on user modeling, Johnstown, PA, pp 106-116