Learning by teaching versus learning by doing: Knowledge exchange in organic agent systems

2009 IEEE Symposium on Intelligent Agents, IA 2009 - Proceedings

Volumn , Issue , 2009, Pages 31-38

  Fisch, Dominik ^a   Janicke, Martin ^a   Kalkowski, Edgar ^a   Sick, Bernhard ^a  

^a UNIVERSITY OF PASSAU   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION FIELDS; DISTRIBUTED INTRUSION DETECTION; KNOWLEDGE EXCHANGE; LEARNING BY DOING; LEARNING BY TEACHING; ORGANIC AGENT; ORGANIC COMPUTING; ORGANIC SYSTEMS; PERFORMANCE DEGRADATION; PROACTIVE BEHAVIOR; QUERY COSTS;

ARTIFICIAL INTELLIGENCE; INTRUSION DETECTION; SENSOR NETWORKS; TEACHING;

INTELLIGENT AGENTS;

EID: 67650554478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IA.2009.4927497     Document Type: Conference Paper

References (30)

1. Wikipedia, "Learning by doing - wikipedia, the free encyclopedia," 2008, (accessed 27-October-2008). [Online]. Available: http://en. wikipedia.org/w/index.php?title=Learning-by-doing&oldid=231171885
2. Wikipedia, "Learning by teaching - wikipedia, the free encyclopedia," 2008, (accessed 27-October-2008). [Online]. Available: http://en.wikipedia. org/w/index.php?title=Learning by teaching&oldid= 246737713
3. th International Conference on Architecture of Computing Systems - System Aspects in Pervasive and Organic Computing"). (Pubitemid 350270948)
4. D. Tennenhouse, "Proactive computing," Communications of the ACM, vol. 43, no. 5, pp. 43 - 50, 2000.
5. R. Want, T. Pering, and D. Tennenhouse, "Comparing autonomic and proactive computing," IBM Systems Journal, vol. 42, no. 1, pp. 129 - 135, 2003.
6. R. Allrutz, C. Cap, S. Eilers, D. Fey, H. Haase, C. Hochberger, W. Karl, B. Kolpatzik, J. Krebs, F. Langhammer, P. Lukowicz, E. Maehle, J. Maas, C. Muller-Schloer, R. Riedl, B. Schallenberger, V. Schanz, H. Schmeck, D. Schmid, W. Schroder-Preikschat, T. Ungerer, H.-O. Veiser, and L. Wolf, "Organic Computing - Computer- und Systemarchitektur im Jahr 2010," VDE/ITG/GI-Positionspapier, 2003.
7. R. P. Wurtz, Ed., Organic Computing, ser. Understanding Complex Systems. Springer, Berlin and Heidelberg, Germany, 2008.
8. J. O. Kephart and D. M. Chess, "The vision of autonomic computing," Computer, vol. 36, no. 1, pp. 41 - 50, 2003.
9. A. G. Ganek and T. A. Corbi, "The dawning of the autonomic computing era," IBM Systems Journal, vol. 42, no. 1, pp. 5 - 18, 2003.
10. R. Sterritt, "Autonomic computing: the natural fusion of soft computing and hard computing," in IEEE International Conference on Systems, Man and Cybernetics, vol. 5, Washington DC, 2003, pp. 4754 - 4759.
11. O. Buchtala and B. Sick, "Basic technologies for knowledge transfer in intelligent systems," in Proceedings of the First IEEE Symposium on Arti cial Life (IEEE-ALife 07), Honolulu, HI, 2007, pp. 251 - 258. (Pubitemid 47431248)
12. D. Fisch and B. Sick, "Training of generative radial basis function classifiers with variational Bayesian inference," in International Joint Conference on Neural Networks (IJCNN09), Atlanta, GA, 2009, (under review).
13. O. Buchtala and B. Sick, "Goodness of fit: Measures for a fuzzy classifier," in Proceedings of the First IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), Honolulu, HI, 2007, pp. 201 - 207. (Pubitemid 47447735)
14. D. Fisch, B. Kuhbeck, B. Sick, and S. Ovaska, "Hard computing and soft computing in classification: Bridging the gap," Information Sciences, 2008, (under review).
15. O. Buchtala and B. Sick, "Techniques for the fusion of symbolic rules in distributed organic systems," in Proceedings of the IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06), Logan, UT, 2006, pp. 85 - 90. (Pubitemid 46948151)
16. T. Okamoto, A. Cristea, and M. Kayama, "Towards intelligent mediaoriented distance learning and education environments," in International Conference on Computers in Education (ICCE 2000), Taipeh, Taiwan, 2000, (invited talk).
17. C. Frasson, T. Mengelle, and E. Aimeur, "Using pedagogical agents in a multistrategic intelligent tutoring system," in Workshop on Pedagogical Agents in AI-ED 97, World Conference on Arti cial Intelligence and Education, Kobe, Japan, 1997, pp. 40 - 47.
18. J. Tan, G. Biswas, and D. Schwartz, "Feedback for metacognitive support in learning by teaching environments," in Proceedings of the twentyeight Annual Meeting of the Cognitive Science Society, Vancouver, Canada, 2006, pp. 828 - 833.
19. K. Leelawong, "Using the learning-by-teaching paradigm to design intelligent learning environments," Ph.D. dissertation, Graduate School of the Vanderbilt University, Nashville, TN, 2005.
20. T. Katzlberger, "Learning by teaching agents," Ph.D. dissertation, Graduate School of the Vanderbilt University, Nashville, TN, 2005.
21. K. Mainzer, "Self-organization and controlled emergence," in Organic Computing - Controlled Emergence, ser. Dagstuhl Seminar Proceedings, K. Bellman, P. Hofmann, C. Muller-Schloer, H. Schmeck, and R. P. Wurtz, Eds., no. 06031. Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany, 2006, (on-line: http://drops.dagstuhl.de/opus/volltexte/2006/ 577).
22. J. Branke, M. Mnif, C. Muller-Schloer, H. Prothmann, U. Richter, F. Rochner, and H. Schmeck, "Organic computing - addressing complexity by controlled self-organization," in Proceedings of the 2nd International Symposium on Leveraging Applications of Formal Methods, Veri cation and Validation (ISoLA 06), Paphos, Greece, 2006, pp. 185 - 191.
23. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. John Wiley & Sons, Chichester, New York, NY, 2001.
24. C. M. Bishop, Pattern Recognition and Machine Learning. Springer, New York, NY, 2006.
25. U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, "Knowledge discovery and data mining: Towards a unifying framework," in Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, OR, 1996, pp. 82 - 88.
26. K. McGarry, "A survey of interestingness measures for knowledge discovery," Knowledge Engineering Review, vol. 20, no. 1, pp. 39-61, 2005.
27. K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed. Academic Press, New York, NY, 1990.
28. J. Gabbai, H. Yin, W. Wright, and N. Allinson, "Self-organization, emergence and multi-agent systems," in Proceedings of the International Conference on Neural Networks and Brain (ICNN&B 05), vol. 3, Beijing, China, 2005, pp. 1858-1863. (Pubitemid 46289294)
29. O. Buchtala, W. Grass, A. Hofmann, and B. Sick, "A fusion-based intrusion detection architecture with organic behavior," in The rst CRIS International Workshop on Critical Information Infrastructures (CIIW 05), Linkoping, Sweden, 2005, pp. 47 - 56.
30. T. Horeis and B. Sick, "Collaborative knowledge discovery & data mining: From knowledge to experience," in Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007), Honolulu, HI, 2007, pp. 421 - 428. (Pubitemid 47431469)