Learning collaboration strategies for committees of learning agents

Autonomous Agents and Multi-Agent Systems

Volumn 13, Issue 3, 2006, Pages 429-461

  Plaza, Enric ^a   Ontañón, Santiago ^a,b  

^a ARTIFICIAL INTELLIGENCE RESEARCH INSTITUTE IIIA CSIC   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Case based reasoning; Committees; Meta learning; Multi agent learning

Indexed keywords

EID: 33748429061     PISSN: 13872532     EISSN: 15737454     Source Type: Journal    
DOI: 10.1007/s10458-006-0015-x     Document Type: Article

References (31)

1. Aamodt, A., & Plaza, E. (1994). Case-based reasoning: Foundational issues, methodological variations, and system approaches. Artificial Intelligence Communications, 7(1), 39-59. online at 〈url:http://www.iiia. csic.es/People/enric/AICom_ToC.html〉.
2. Aha, D. (Ed.) (1997) Lazy learning. Kluwer Academic Publishers.
3. Brams, S. J., & Fishburn, P. C. (1983). Approval voting. Boston: Birkhauser.
4. Breiman, L. (1996). Bagging predictors. Machine Learning, 24(2), 123-140.
5. Cestnik, B., & Bratko, I. (1991). On estimating probabilities in tree pruning. In Machine learning-European working session on learning-91, Vol. 482 of Lecture Notes in Artificial Intelligence, (pp. 151-163). Springer Verlag.
6. Chan, P. K., & Stolfo, S. J. (1995). A comparative evaluation of voting and meta-learning on partitioned data. In Proceedings of the 12th international conference on Machine learning, pp. 90-98.
7. Cover, T., & Hart, P. (1967). Nearest neighbor pattern classification'. IEEE Transactions on Information Theory 13(1), 21-27.
8. Dignum, F., Dunin-Kȩplicz, B., & Verbrugge, R. (2001). Agent theory for earn formation by dialogue. Lecture Notes in Computer Science, 1986, 150-166.
9. Dutta, P. S., & Sen, S. (2002). Emergence of stable coalitions via task exchanges. In C. Castelfranchi, & W. L. Johnson (Eds.), Proceedings of 1st international conference on automous agents and multiagent systems, pp. 312-313.
10. Esteva, M., Padget, J., & Sierra, C., (To appear). Formalising a language for institutions and norms. In Intelligent agents VIII, proceedings ATAL'01.
11. Esteva, M., Rodriguez-Aguilar, J. A., Sierra, C., Garcia, P., & Arcos, J. L. (2001). On the formal specification of electronic institutions. In Agent mediated electronic commerce, Vol. 1991 of LNAI. Springer-Verlag.
12. Freund, Y., & Schapire, R. E. (1996). Experiments with a new Boosting algorithm. In Proceedings 13th international conference on machine learning, pp. 148-146.
13. Gama, J. (1998). Local cascade generalization. In Proceedings 15th international conference on machine learning, pp. 206-214.
14. Gomez, M., & Plaza, E. (2004). Extending matchmaking to maximize capability reuse. In Proceedings of the AAMAS 2004, pp. 144-152.
15. Hansen, L. K. & Salamon, P. (1990). Neural networks ensembles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 993-1001.
16. Leake, D. B. & Sooriamurthi, R. (2001). When two case bases are better than one: Exploiting multiple case bases. In ICCBR, pp. 321-335.
17. Leake, D. B. & Sooriamurthi, R. (2002). Managing multiple case bases: Dimensions and issues. In Proceedings of the 15th international Florida Artificial Intelligence Research Society (FLAIRS), pp. 106-110.
18. McGinty, L., & Smyth, B. (2001). Collaborative case-based reasoning: Applications in personalized route planning. In Case based reasoning ICCBR-01, pp. 362-376.
19. Ontañón, S., & Plaza, E. (2002a). A bartering aproach to improve multiagent learning. In 1st International joint conference in autonomous agents and multiagent systems.
20. Ontañón, S., & Plaza, E. (2002b). Collaboration strategies to improve multiagent learning. Lecture Notes in Artificial Intelligence, 2430, 331-344.
21. Ontañón, S., & Plaza, E. (2003a). Collaborative case retention strategies for CBR agents. Lecture. Notes in Artificial Intelligence, 2689, 392-406.
22. Ontañón, S., & Plaza, E. (2003b). Justification-based multiagent learning. In International conference on machine learning ICML-2003, pp. 576-583.
23. Ontañón, S. & Plaza, E. (2005). Recycling data for multi-agent learning. In Proceedings 22nd international conference on machine learning ICML-2005, pp. 633-640.
24. Ontañón, S., & Plaza, E. (2006). Arguments and counterexamples in case-based joint deliberation. In Proceedings A AMAS '06 workshop on argumentation on multi-agent systems, p. to appear.
25. Ontañón, S., (2005). Ensemble case based learning for multi-agent systems. Ph.D. thesis, Universitat Autónoma de Barcelona.
26. Perrone, M. P., & Cooper, L. N. (1993). When networks disagree: Ensemble methods for hybrid neural networks. In Artificial neural networks for speech and vision, Chapman-Hall.
27. Plaza, E., & Ontañón, S. (2001). Ensemble case-based reasoning: Collaboration policies for multiagent cooperative CBR. In I. Watson, & Q. Yang (Eds.), In case-hosed reasoning research and development; ICCBR-2001, pp. 437-451.
28. Plaza, E., & Ontañón, S. (2003). Cooperative multiagent learning. Lecture Notes in Artificial Intelligence, 2636, 1-17.
29. Quinlan, J. R. (1986). Induction of decision trees. Machine Learning, 1(1), 81-106.
30. Wolpert, D. H. (1990). Stacked generalization. Technical Report LA-UR-90-3460, Los Alamos, NM.
31. Wooldridge, M., & Jennings, N. R. (1994). Towards a theory of cooperative problem solving. In Proceedings modelling autonomous agents in a multi-agent world (MAAMAW-94). (pp. 15-26). Odense, Denmark.