Abstract
Until this point, we have focused on a single question throughout this entire text: How can we get computer programs to mimic the behavior of physical systems. In this chapter, as well as in the following chapters, we shall deal with quite a different issue: We shall try to understand how humans model the behavior of physical systems in the absence of a computer, i.e., how they reason about the functioning of a device or process. In other words, we shall try to model the process of understanding itself. Naïve physics is one methodology that can address this question. Other methodologies will be discussed in due course.
Keywords
- Consistency Constraint
- Continuity Constraint
- Influence Diagram
- Negative Real Axis
- Qualitative Simulation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
Earl Babbie (1989), The Practice of Social Research, fifth edition, Wadsworth Publishing Company, Belmont, Calif.
Daniel G. Bobrow, Ed. (1985), Qualitative Reasoning about Physical Systems, MIT Press, Cambridge, Mass.
François E. Cellier (1986), “Enhanced Run—Time Experiments for Continuous System Simulation Languages,” Proceedings SCS MultiConference on Languages for Continuous System Simulation (F.E. Cellier, ed.), SCS Publishing, San Diego, Calif., pp. 78–83.
François E. Cellier and C. Magnus Rimvall (1989), “Matrix Environments for Continuous System Modeling and Simulation,” Simulation, 52 (4), pp. 141–149.
François E. Cellier and Nicolas Roddier (1991), “Qualitative State Spaces: A Formalization of the Naive Physics Approach to Knowledge—Based Reasoning,” Proceedings AI, Simulation and Planning in High Autonomy Systems (P.A. Fishwick, B.P. Zeigler, and J.W. Rozenblit, eds.), IEEE Computer Society Press, Los Alamitos, Calif.
R. G. Coyle (1977), Management System Dynamics, John Wiley and Sons, London, U.K.
Ernest Davis (1987), “Constraint Propagation with Interval Labels,” Artificial Intelligence, 32, pp. 281–331.
Johan de Kleer and John S. Brown (1984), “A Qualitative Physics Based on Confluences,” Artificial Intelligence, 24, pp. 7–83.
Richard C. Dorf (1989), Modern Control Systems, fifth edition, Addison—Wesley, Reading, Mass.
Kenneth D. Forbus (1984), “Qualitative Process Theory,” Artificial Intelligence, 24, pp. 85–168.
Dedre Gentner and Albert Stevens (1983), Mental Models, Lawrence Erlbaum Associates, Hillsdale, N.J.
Benjamin Kuipers (1986), “Qualitative Simulation,” Artificial Intelligence, 29, pp. 289–338.
Benjamin Kuipers and Adam Farquhar (1987), QSIM: A Tool for Qualitative Simulation, Internal Report: Artificial Intelligence Laboratory, The University of Texas, Austin.
Antony J. Morgan (1988), The Qualitative Behaviour of Dynamic Physical Systems, Ph.D. dissertation, Wolfson College, The University of Cambridge, Cambridge, U.K.
Antony J. Morgan (1990), “Accuracy in Qualitative Descriptions of Behaviour,” Proceedings Winter Simulation Conference, New Orleans, La., pp. 520–526.
Brian C. Williams (1984), “Qualitative Analysis of MOS Circuits,” Artificial Intelligence, 24, pp. 281–346.
Bibliography
Paul A. Fishwick (1988), “The Role of Process Abstraction in Simulation,” IEEE Trans. Systems, Man and Cybernetics, 18 (1), pp. 18–39.
Paul A. Fishwick and Paul A. Luker, Eds. (1991), Qualitative Simulation, Modeling, and Analysis, Springer-Verlag, New York.
Paul A. Fishwick and Bernard P. Zeigler (1990), “Qualitative Physics: Towards the Automation of Systems Problem Solving,” Proceedings AI, Simulation and Planning in High Autonomy Systems (B.P. Zeigler and J.W. Rozenblit, eds.), IEEE Computer Society Press, Los Alamitos, Calif., pp. 118–134.
Patrick J. Hayes (1979), “The Naive Physics Manifesto,” in: Expert Systems in the Micro-Electronic Age (D. Michie, ed.), Edinburgh University Press, Edinburgh, Scotland, pp. 242–270.
Raman Rajagopalan (1986), “Qualitative Modelling and Simulation: A Survey,” Proceedings AI Applied to Simulation (E. Kerckhoffs, G.C. Vansteenkiste, and B.P. Zeigler, eds.), Simulation Series, 18(1), Springer-Verlag, Berlin, pp. 9–26.
Lawrence E. Widman, Kenneth A. Loparo, and Norman R. Nielsen, Eds. (1989), Artificial Intelligence, Simulation and Modeling, John Wiley and Sons, New York.
Bernard P. Zeigler and Jerzy W. Rozenblit, Eds. (1990), AI, Simulation and Planning in High Autonomy Systems, IEEE Computer Society Press, Los Alamitos, Calif.
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Cellier, F.E. (1991). Naïve Physics. In: Continuous System Modeling. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3922-0_12
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