Skip to main content

Parallel computing model for problem solver towards ITSs

Epistemological articulation of human problem solving

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1086))

Included in the following conference series:

  • 134 Accesses

Abstract

Study on building powerful and robust problem solver for ITSs is described. The proposed problem solver is based on parallel computing technology to simulate some of the intelligent characteristics of human problem solving including the concurrency of thought, the case based reasoning, and the awareness of the key to problem solving. We propose the multiagent problem solver which divides a given problem into several small sub-problems and solves them concurrently. This system is especially useful for ITS which teaches procedural problem solving to novice students, because it is capable of showing the reason of achieving an idea for solution by thinking aloud by the “trial-and-error” method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Avron Barr and Edward A. Feigenbaum. The Handook of Artificial Intelligence. William Kaufmann, Inc., 1981.

    Google Scholar 

  2. W.J. Clancey. Knowledge-Based Tutoring: The GUIDON Program. The MIT Press, 1987.

    Google Scholar 

  3. Al Geist, Adam Beguelin, Jack Dongarra, and Weicheng Jiang. PVM: Parallel Virtual Machine. MIT Press, 1994. http://www.netlib.org/pvm3/book/pvm-book.html.

    Google Scholar 

  4. Anoop Gupta. Parallelism in Production Systems. Morgan Kaufmann Pub., Inc., 1987.

    Google Scholar 

  5. Toru Ishida. Parallel, Distributed and Multiagent Production System. Springer-Verlag, 1991.

    Google Scholar 

  6. Steven Minton. Learning Search Control Knowledge: An Explanation Based Approach. Kluwer Academic Publishers, Boston, 1988.

    Google Scholar 

  7. E. Wenger. Artificial Intelligence and Tutoring Systems. Morgan Kaufmann. Los Altos, CA, 1987.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Claude Frasson Gilles Gauthier Alan Lesgold

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Matsuda, N., Okamoto, T. (1996). Parallel computing model for problem solver towards ITSs. In: Frasson, C., Gauthier, G., Lesgold, A. (eds) Intelligent Tutoring Systems. ITS 1996. Lecture Notes in Computer Science, vol 1086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61327-7_120

Download citation

  • DOI: https://doi.org/10.1007/3-540-61327-7_120

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61327-5

  • Online ISBN: 978-3-540-68460-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics