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Using Plausible Reasoning for Developing Intelligent Systems

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Applications and Science in Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 24))

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Abstract

In this paper, the application of plausible reasoning in different domains has been investigated. The theory of plausible reasoning has been introduced on early 1990s. However after that there has not been a significant work to show its applicability to real world problems. After several years of experimentation in different fields such as Information Retrieval, Information Filtering and Intelligent Tutoring systems, we feel confident that this theory could be applied to real world problems instead of or in conjunction with other theories such as Fuzzy logic, Dempster-Shaffer theory of evidence etc. Here we describe several of our implementations and experiments with this theory.

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References

  1. A. Collins, and R. Michalski. The logic of Plausible Reasoning A core theory, Cognitive Science, vol. 13, pp. 1–49, 1989.

    Article  Google Scholar 

  2. A. Collins, M. H. Burstejn, Modeling A Theory Of Human Plausible Reasoning, Artificial Intelligence III, 1988.

    Google Scholar 

  3. A. Dempster, Upper and lower probabilities induced by a multivalued mapping, Ann. Math. Stat., vol. 38, no. 2, pp. 325–339, 1967.

    Article  MathSciNet  MATH  Google Scholar 

  4. A. B Quinn, C. M. Mitchell, and A. R. Champell. The Importance of Student Models in Intelligent Tutoring for Complex Dynamic Systems, IEA/HFES 2000 Congress Proceedings. 2000.

    Google Scholar 

  5. F. Oroumchian. Information Retrieval By Plausible Inferences: An Application Of The Theory Of Plausible Reasoning Of Collins And Michalski, Ph.D. Dissertation, School Of Computer And Information Science, Syracuse University, 1995.

    Google Scholar 

  6. F. Oroumchian, Bita Khandzad. Modeling An Intelligent Tutoring System by Plausible Inferences, 1st International Conference on Fuzzy systems and knowledge discovery, Volume 1, pp 529, 2002.

    Google Scholar 

  7. F. Oroumchian, and R. N. Oddy. An Application Of Plausible Reasoning To Information Retrieval, In Procs. The 19th ACM SIGIR Conference on Research and Development in Information Retrieval pp. 244–252, 1996.

    Google Scholar 

  8. F. Oroumchian, B. N. Araabi, E. Ashoori. Using Plausible Inferences and Dempster shafer Theory Of Evidence For Filtering, In Procs. 4th International Conference on Recent Advances in Soft Computing (RASC2002)Nottingham, United Kingdom, Dec 12–13. 2002.

    Google Scholar 

  9. H. Gamboa, A. Fred. Designing Intelligent Tutoring Systems: a Bayesian Approach, 3rd International Conference on Enterprise Information Systems, ICEIS’2001.

    Google Scholar 

  10. J. Rocchio. Relevance feedback in Information Retrieval, In Procs of the SMART Retrieval System -Experiments in Automatic Document process, pp 313–322, 1971.

    Google Scholar 

  11. P. Smets. The nature of the unnormalized beliefs model, D. Dubois, M. P. Wellman, B. D’Ambrosio, and Ph. Smets, editors, Uncertainty in Artificial Intelligence 92, Morgan Kaufman, pp. 292–297, San Mateo, CA, 1992.

    Google Scholar 

  12. P. Smets, Belief Functions and The Transferable Belief Model, at the web site of the Imprecise Probabilities Project: http://ippserv.rug.ac.be,31/5/2003.

  13. M. N Ainsworth, S. E. Developing. ITSs using a Psychologically Motivated Authoring Environment. AAAI Fall symposium, AAAI Press: Menlo Park, CA. ISBN 1–57735–038–3, pp. 53 – 59, 1997.

    Google Scholar 

  14. N. Matsuda, K. VanLehn. Decision Theoretic Instructional Planner for Intelligent Tutoring Systems, in Procs. Workshop on Modeling Human Teaching Tactics and Strategies ITS2000, pp.72–83, 2000.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Engineering, University of Tehran, Iran

    Bita Khandzad, Elham Ashoori & Babak Nadjar Araabi

  2. University of Wollongong-Dubai, Australia

    Farhad Oroumchian

Authors
  1. Bita Khandzad
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  2. Elham Ashoori
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  3. Farhad Oroumchian
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  4. Babak Nadjar Araabi
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Editor information

Editors and Affiliations

  1. School of Computing and Technology, Nottingham Trent University, Burton Street, NG1 4BU, Nottingham, UK

    Ahamad Lotfi

  2. Automated Scheduling, Optimisation and Planning Group, School of Computer Science and IT, Universtiy of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham, UK

    Jonathan M. Garibaldi

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© 2004 Springer-Verlag Berlin Heidelberg

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Khandzad, B., Ashoori, E., Oroumchian, F., Araabi, B.N. (2004). Using Plausible Reasoning for Developing Intelligent Systems. In: Lotfi, A., Garibaldi, J.M. (eds) Applications and Science in Soft Computing. Advances in Soft Computing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45240-9_28

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  • DOI: https://doi.org/10.1007/978-3-540-45240-9_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40856-7

  • Online ISBN: 978-3-540-45240-9

  • eBook Packages: Springer Book Archive

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