ELA-A new approach for learning agents

Autonomous Agents and Multi-Agent Systems

Volumn 10, Issue 3, 2005, Pages 215-248

  Enembreck, Fabrício ^a   Brathès, Jean Paul ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

Adaptive agents; Incremental learning; Memory based reasoning

Indexed keywords

ADAPTIVE AGENTS; CONCEPT GRAPHS (CG); INCREMENTAL LEARNING; MEMORY-BASED REASONING; REINFORCEMENT LEARNING;

ADAPTIVE CONTROL SYSTEMS; AUTONOMOUS AGENTS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA REDUCTION; DATA STORAGE EQUIPMENT; FEEDBACK; KNOWLEDGE ENGINEERING; LEARNING ALGORITHMS;

LEARNING SYSTEMS;

EID: 14844360906     PISSN: 13872532     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10458-004-6976-8     Document Type: Review

References (53)

1. R. Agrawal, and R. Srikant, "Mining sequential patterns", Philip S. Yu and Arbee L. P. Chen (eds.), Proceedings of the 11th International Conference on Data Engineering - ICDE, IEEE Press, 6 October, 3-14 pp 1995. (ISBN 0-8186-6910-1).
2. D. W. Aha D. Kibler M. K. Albert 1991 Instance-based learning algorithms Machine Learning 6 37 66
3. J.-P. Barthès, "OMAS v 1.0. Memo UTC/GI/DI/N 151, Université de Technologie de Compiègne", Département de Génie Informatique, Jannuary, 2002.
4. S. D. Bay, and M. J. Pazzani, "Detecting change in categorical data: Mining contrast sets, " Knowledge Discovery and Data Mining, pp. 302-306, 1999.
5. S. Benson, "Inductive learning of reactive action models", ICML'95, pp. 47-54, 1995.
6. D. Billsus, and M. Pazzani, A hybrid user model for news story classification. in Proceedings of the Seventh International Conference on User Modeling (UM '99), Banff. Canada. 1999.
7. C. Blake, C. J. Merz, "UCI Repositoryofmachine learningdatabases- www.ics.uci.edu/m̃learn/MLRepository.html". Irvine, CA: University of California, Department of Information and Computer Science.
8. L. B. Brooker D. E. Goldberg J. H. Holland 1989 Classifier systems and genetic algorithms Artificial Intelligence 40 235 282
9. W. Brenner, R. Zarnekow, H. Wittig, "Intelligent software agents", Springer-Verlag. 1998. ISBN 3-540-63411-8.
10. H. Brighton, C. Mellish, "Advances in instance selection for instance-based learning algorithms, " Data Mining and Knowledge Discovery. Kluwer Academic Publishers. no. 6, pp. 153 - 172, 2002.
11. J. Chapelle, O. Simonin, J. Ferber, "How situated agents can learn to cooperate by monitoring their neighborsśatisfaction", F. van Harmelen (ed.), in ECAIÓ2, IOS Press, pp. 68-72, 2002. ISBN 1-58603-257-7.
12. P. Cunningham, B. Smyth, and T. Veale, "On the limitations of memory based reasoning", in Proceedings of the 2nd European Workshop on Case-Based Reasoning, Paris, 1994.
13. K. Dorer, "Behavior networks for continuous domains using situation-dependent motivations", in Proceedings of the IJCAI9'9, pp. 1233-1238, 1999. http://citeseer.nj.nec.com/dorer99behavior.html.
14. P. W. Eklund, A. Hoang, "A performance survey of public domain supervised machine learning algorithms", in Technical Report of Knowledge Visualisation and Ordering, http://www.kvocentral. com/kvopapers/7paper.pdf.
15. B. Faltings 1997 "Qualitative models as indices for memory-based prediction" IEEE Expert vol. may-june 47 53
16. Foundations for intelligent physical agents http://www.fipa.org.
17. R. E. Fikes N. J. Nilsson 1971 "STRIPS: A new approach to the application of theorem proving to problem solving" Artificial Intelligence vols. 3-4 no. 2 189 208
18. E. A. Fox, and J. A. Shaw, "Combination of multiple searches. The second text retrieval conference (TREC-2)", in Government Printing Office Washinghton D.C., Gaithersburg, MD, USA, March, 1994.
19. J. H. Friedman, R. kohavi, Y. Yun, "Lazy decision trees", in S. Howard and S. Ted (eds.), Proc. of the Thirteenth National Conference on Artificial Intelligence, AAAI Press pp. 717-724, 1996.
20. F. Gasparetti, and A. Micarelli, "Adaptive web based on a colony de cooperative distributed agents", in M. Klusch. A. Omicini. S. Ossowski and H. Laama-nen (eds.), Proceedings of the 7th Cooperative Information Agents. Springer-Verlag. LNAI 2782., pp. 168-183 Helsinki, August, 2003. ISBN 3-540-40798-7.
21. J. A. Gonzales, L. B. Holder, and D. J. Cook, "Graph-based concept learning", Proceedings of the Fourteenth Annual Florida AI Research Symposium, pp. 377-381, 2001.
22. J. H. Holland, "Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems, " In R. S. Michalski, J. G. Carbonell, T. M. Mitchell (eds.), Machine Learning, an Artificial Intelligence Approach, Morgan Kauffman, vol 2, 1986.
23. J. H. Holmes P. L. Lanzi S Stolzman S. W. Wilson 2002 "Learning classifier systems New models, successful applications" Information Processing Letters 2 23 30 ed. 1
24. Java agent development framework, http://sharon.cselt.it/projects/jade/.
25. S. Kasif S. Salszberg D. Waltz J. Rachlin David Aha 1998 "A probabilistic framework for memory-based reasoning" Artificial Intelligence 104 1-2 287 311
26. R. Kohavi, "Bottom-up induction of oblivious read-once decision graphs: strengths and limitations, "Proceedings of the National Conference on Artificial Intelligence, pp. 613 - 618, 1994.
27. R. Kohavi, D. Sommerfield, J. Dougherty, "Data Mining using MLC++", in IEEE Tools With Artificial Intelligence Best Paper Award, 1996. http://robotics.stanford.edu/ ronnyk/mlc96.ps.Z.
28. R. Kozierok, and P. Maes, "A learning interface agent for scheduling meetings", In Proceedings of the Fourteenth International Workshop on Intelligent User Interfaces, pp. 81-88, Orlando, USA, 1993.
29. Y. Lashkari, M. Metral, and P. Maes, "Collaborative interface agents", Proceedings of the Twelfth National Conference on Artificial Intelligence, vol. 1, AAAI Press, Seatle, WA, 1994.
30. H. Lieberman, "Autonomous interface agents", Proceedings of the ACM Conference on Computer and Human Interface, Atlanta, March, 1997.
31. H. Lieberman, "Intelligent Profiling by Example", Proceedings of the International Conference on Intelligent user Interfaces (IUI 2000), Santa Fé, January 14-17, 2001.
32. P. Maes, "Learning behavior networks from experience", Proceedings of the First Conference on Artificial Life, F. J. Varela and P. Bourgine (in eds.) MIT Press/Bradford Books, 1992.
33. P. Maes, "Modeling adaptative autonomous agents", Artificial Life Journal, no. 1, vol. 1-2, MIT Press, pp. 135-162, 1994.
34. F. Menczer, G. Pant, P. Srinivasan, and M. E. Ruiz, "Evaluating topic-driven web crawlers", Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 241-249, 2001.
35. D. Michie, D. J. Spiegelhalter, and C.C. Taylor, "Machine learning, neural and statistical classification", Ellis Horwood, 1994, ISBN 0-13-106360-X.
36. S. E. Middleton, "Interface agents: A review of the field, "Technical Report ECSTR-IAM01-001, University of Southampton, UK, 2001.
37. A. Moukas 1997 "Amalthaea information discovery and filtering using a multiagent evolving ecosystem" Applied Artificial Intelligence: An International Journal 11 5 437 457
38. D. Maulsby I. H. Witten 1997 "Teaching agents to learn: from user study to implementation" IEEE Computer 30 11 36 44
39. N. J. Nilsson 1994 "Teleo-reactive programs for agent control" Journal of Artificial Intelligence Research 1 139 158
40. Z. Z. Nick, and P. Themis, "Web search using a genetic algorithm", IEEE Internet Computing, pp. 18-26. March-April. 2001.
41. E. Oliveira, "Agent, advanced features for negotiation and coordination, " M. Luck (ed.), ACAI 2001, LNAI 2086In: Springer-Verlag, pp. 173-186, 2001.
42. J.R. Quinlan 1986 "Induction of decision trees", C4.5 Programs for Machine Learning Kluwer Academic Publishers Netherlands 81 106
43. J.R. Quinlan 1993 "Programs for machine learning" Morgan Kauffman Publishers California C4.5
44. C. K. Riesbeck, R. C. Schank, "Inside case-based reasonning", Lawrence Erlbaum Associates, ISBN 0-89859-767-6, 423 EUA, 1989.
45. G. Salton, "Automatic text processing: The transformations, analysis amd retrieval of information by computer, "Addison-Wesley1989.
46. M. Sebag M Shoenauer 1990 "Incremental learning of rules and meta-rules" B.W. Porter R. Mooney Machine Learning Morgan Kaufmann Los Altos/Palo Alto/San Francisco 49-57
47. C.Silverstein, M. R. Henzinger, J. Marais, and M. Moricz, "Analysis of a very large altavista query log", ACM SIGIR, no. 33, pp. 6-12, 1999.
48. R. G. Smith, "A framework for distributed problem solving", Proceedings of the 6th International joint Conference on Machine Learning, pp. 836-841, Tokyo, japan, 1979.
49. P.E. Utgoff, "An improved algorithm for incremental induction of decision trees", International Conference on Machine Learning, pp. 318-325, 1994.
50. C. Watkins, "Learning from deplayed rewards", PhD Thesis, King's College, Cambridge, 1989.
51. D.H. Widyantoro T.R. Ioerger J. Yen 2001 "Learning user interest dynamics with a three-descriptor representation" Journal of the American Society for Information Science 52 3 212 225
52. D. R. Wilson A. R. Martinez 2000 "Instance prunning techniques" Machine Learning 38 3 257 286
53. B. Zhang Y. Seo 2001 "Personalized webdocument filtering using reinforcement learning" Applied Artificial Intelligence 15 665 685