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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Blalock, J.M., Jr. Causal Inferences in Nonexperimental Research. The University of North Carolina Press, Chapel Hill, N.C., 1964.
Cellier, F.E. Qualitative simulation of technical systems using the general system problem solving framework. Int. J. Gen. Syst. 13, 4 (1987), 333–344.
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.
Forbus, K.D. Qualitative process theory. Artif. Intell. 24 (1984), 85–168.
de Kleer, J., and Brown, J.S. A qualitative physics based on confluences. Artif. Intell. 24 (1984), 7–83.
Klir, G.J. Architecture of Systems Problem Solving. Plenum Press, New York, 1985.
Kuipers, B.J. Qualitative simulation. Artif. Intell. 29 (1986), 289–338.
Law, A.M., and Kelton, W.D. Simulation Modeling and Analysis. McGraw-Hill, New York, 1982.
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.
Uyttenhove, H.J. SAPS—System Approach Problem Solver. Ph.D. dissertation (GJ. Klir, Adv.), SUNY Binghampton, 1979.
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.
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.
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.
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.
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.
Zadeh, L.A. A computational theory of disposition. Int. J. Intell. Syst. 2 (1987), 39–63.
Editor information
Editors and Affiliations
Rights 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