Skip to main content

General System Problem Solving Paradigm for Qualitative Modeling

  • Chapter
Qualitative Simulation Modeling and Analysis

Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 5))

Abstract

In this chapter qualitative modeling is applied to inductively reason about the behavior of physical systems. Inductive reasoning does not dwell on the principles of “naive physics” as the commonsense reasoning does, but rather implements a sort of pattern-recognition mechanism. The basic differences between inductitive reasoning and commonsense reasoning are explained. It is shown under which conditions either of the two approaches may be more successful than the other.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Blalock, J.M., Jr. Causal Inferences in Nonexperimental Research. The University of North Carolina Press, Chapel Hill, N.C., 1964.

    Google Scholar 

  2. Cellier, F.E. Qualitative simulation of technical systems using the general system problem solving framework. Int. J. Gen. Syst. 13, 4 (1987), 333–344.

    Article  Google Scholar 

  3. Cellier, F.E., and Yandell, D.W. SAPS-II: A new implementation of the systems approach problem solver. Int. J. Gen. Syst. 13, 4 (1987), 307–322.

    Article  Google Scholar 

  4. Forbus, K.D. Qualitative process theory. Artif. Intell. 24 (1984), 85–168.

    Article  Google Scholar 

  5. de Kleer, J., and Brown, J.S. A qualitative physics based on confluences. Artif. Intell. 24 (1984), 7–83.

    Article  Google Scholar 

  6. Klir, G.J. Architecture of Systems Problem Solving. Plenum Press, New York, 1985.

    MATH  Google Scholar 

  7. Kuipers, B.J. Qualitative simulation. Artif. Intell. 29 (1986), 289–338.

    Article  MathSciNet  MATH  Google Scholar 

  8. Law, A.M., and Kelton, W.D. Simulation Modeling and Analysis. McGraw-Hill, New York, 1982.

    MATH  Google Scholar 

  9. Systems Control Technology. CTRL-C, A Language for the Computer-Aided Design of Multivariable Control Systems, User’s Guide. Systems Control Technology, Palo Alto, Calif., 1984.

    Google Scholar 

  10. Uyttenhove, H.J. SAPS—System Approach Problem Solver. Ph.D. dissertation (GJ. Klir, Adv.), SUNY Binghampton, 1979.

    Google Scholar 

  11. Vesanterä, P.J. Qualitative Flight Simulation: A Tool for Global Decision Making. M.S. thesis, Dept. of Electrical and Computer Engineering, Univ. of Arizona, Tucson, Ariz., 1988.

    Google Scholar 

  12. Vesanterä, P.J., and Cellier, F.E. Building intelligence into an autopilot—Using qualitative simulation to support global decision making. Simulation 52, 3 (1989), 111–121.

    Article  Google Scholar 

  13. Zadeh, L.A. Syllogistic reasoning in fuzzy logic and its application to usuality and reasoning with dispositions. IEEE Trans. Syst., Man, Cybern. SMC-15, 6 (1985), 754–763.

    MathSciNet  Google Scholar 

  14. Zadeh, L.A. Test-score semantics as a basis for a computational approach to the representation of meaning. Literary Linguistic Comput. 1, 1 (1986), 24–35.

    Article  Google Scholar 

  15. Zadeh, L.A. A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination. The AI Mag. (Summer 1986), 85–90.

    Google Scholar 

  16. Zadeh, L.A. A computational theory of disposition. Int. J. Intell. Syst. 2 (1987), 39–63.

    MATH  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Cellier, F.E. (1991). General System Problem Solving Paradigm for Qualitative Modeling. In: Fishwick, P.A., Luker, P.A. (eds) Qualitative Simulation Modeling and Analysis. Advances in Simulation, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9072-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-9072-5_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97400-2

  • Online ISBN: 978-1-4613-9072-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics