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Chemical Reaction Metaphor in Distributed Learning Environments

  • Conference paper
Innovations in Applied Artificial Intelligence (IEA/AIE 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3029))

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Abstract

This paper presents an application of Chemical Reaction Metaphor (CRM) in agent-based distributed learning systems. The suitability of using CRM to model multi-agent systems is justified by CRM’s capacity in catching dynamic features of multi-agent systems in an e-learning environment. A case study in course material updating demonstrates how the CRM based language, Gamma language, can be used to specify the architecture of the learning environment. Finally, a discussion on the implementation of Gamma language in a distributed system is given.

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References

  1. Vouk, M.A., Bitzer, D.L., Klevans, R.L.: Workflow and End-User Quality of Service Issues in Web-Based Education. IEEE Trans. on Knowledge and Data Engineering 11(4), 673–687 (1999)

    Article  Google Scholar 

  2. Yu, E.: Agent-Oriented Modelling: Software Versus the World. In: Wooldridge, M.J., Weiß, G., Ciancarini, P. (eds.) AOSE 2001. LNCS, vol. 2222, pp. 206–225. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  3. Vassileva, J., Deters, R., Greer, J., MaCalla, G., Kumar, V., Mudgal, C.: A Multi-Agent Architecture for Peer-Help in a University Course. In: Proceedings of the Workshop on Pedagogical Agents at ITS 1998, San Antonio, Texas, pp. 64–68 (1998)

    Google Scholar 

  4. Flores, R.A., Kremer, R.C., Norrie, D.H.: An Architecture for Modeling Internet-based Collaborative Agent Systems. In: Wagner, T.A., Rana, O.F. (eds.) AA-WS 2000. LNCS (LNAI), vol. 1887, pp. 56–63. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  5. Lin, F.O., Norrie, D.H., Flores, R.A., Kremer, R.C.: Incorporating Conversation Managers into Multi-agent Systems. In: Greaves, M., Dignum, F., Bradshaw, J., Chaibdraa, B. (eds.) Proc. of the Workshop on Agent Communication and Languages, 4th Inter. Conf. on Autonomous Agents (Agents 2000), Barcelona, Spain, June 3-7, pp. 1–9 (2000)

    Google Scholar 

  6. Banatre, J.-P., Le Metayer, D.: The Gamma model and its discipline of programming. Science of Computer Programming 15, 55–77 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  7. Banatre, J.-P., Le Metayer, D.: Programming by multiset transformation. CACM 36(1), 98–111 (1993)

    Google Scholar 

  8. Banatre, J.-P., Le Metayer, D.: Gamma and the chemical reaction model: ten years after. In: Andresli, J.M., Hankin, C. (eds.) Coordination Programming: Mechanisms, Models and Semantics, Imperial College Press (1996)

    Google Scholar 

  9. Le Metayer, D.: Higher-order multiset processing. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 18, 179–200 (1994)

    Google Scholar 

  10. Lin, F.O., Lin, H., Holt, P.: A Method for Implementing Distributed Learning Environments. In: Proc. 2003 Information Resources Management Association International Conference, Philadelphia, Pennsylvania, USA, May 18-21, pp. 484–487 (2003)

    Google Scholar 

  11. Lin, H.: A Language for Specifying Agent Systems in E-Learning Environments. In: Lin, F.O. (ed.) Designing Distributed Learning Environments With Intelligent Software Agents, Idea Group Inc. (to appear)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Lin, H., Yang, C. (2004). Chemical Reaction Metaphor in Distributed Learning Environments. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_88

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  • DOI: https://doi.org/10.1007/978-3-540-24677-0_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22007-7

  • Online ISBN: 978-3-540-24677-0

  • eBook Packages: Springer Book Archive

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