Abstract
Learning experiences and resources sharing is becoming one of the most important research fields of the advanced E-Learning techniques. This paper proposed a dynamic self-organizing community mechanism with an improved matchmaking algorithm, which makes the systems having the ability of self-organizing community that groups similar agents according to their preferences and capabilities. How to represent, evaluation, exchange as well as how to matchmaking during the self-organizing process are discussed in the algorithms. A prototype is also built to verify the algorithms. Experiments based on rea learner data have shown that this mechanism can organize learners properly, and has sustainably improved speed and efficiency of searches for peer students owning relevant knowledge resources.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Singh, N.: A Common Lisp API and Facilitator for ABSI: Version 2.0.3, Technical Report Logic-93-4, Logic Group, Computer Science Department, Stanford University (1993)
Sycara, K., Lu, J., Klusch, M., Wido, S.: Matchmaking Among Heterogeneous Agents on the Internet. In: Proceedings of AAAI Spring Symposium on Intelligent Agents in Cyberspace, Stanford, USA (1999), http://www.cs.cmu.edu/~softagents/publications.html
Subrahmanian, V., Bonatti, P., Dix, J., et al.: Heterogeneous Agent Systems. The MIT Press, Cambridge (2000)
Klusch, M., Sycara, K.: Brokering and Matchmaking for Coordination of Agent Societies: A Survey. In: Omicini, A., Zambonelli, F., Klusch, M., Tolksdorf, R. (eds.) Coordination of Internet Agents: Models, Technologies and Applications, Ch. 8. Springer, Heidelberg (2001)
Wang, F.: Self-organising communities formed by middle agents. In: Proceedings of the First International Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy, July 2002, pp. 1333–1339 (2002)
Turner, P.J., Jennings, N.R.: Improving the scalability of multi-agent systems. In: Proceedings of the First International Workshop on Infrastructure for Scalable Multi-Agent Systems, pp. 246–262 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shen, R., Yang, F., Han, P. (2003). A Dynamic Self-Organizing E-Learner Communities with Improved Multi-agent Matchmaking Algorithm. In: Gedeon, T.(.D., Fung, L.C.C. (eds) AI 2003: Advances in Artificial Intelligence. AI 2003. Lecture Notes in Computer Science(), vol 2903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24581-0_50
Download citation
DOI: https://doi.org/10.1007/978-3-540-24581-0_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20646-0
Online ISBN: 978-3-540-24581-0
eBook Packages: Springer Book Archive