A Study of Terminology and Issues in Qualitative Simulation

Much of the recent AI research related conceptually to simula tion may be found under the heading "qualitative simulation and reasoning." This paper will present terminology used within AI and critically analyze the terminology with respect to current simulation literature. By discussing terminology, we will help to bridge the gaps between work in qualitative simulation and traditional simulation and provide the foundation for future discussions on the relationships between these two areas.

[1]  D. Bobrow Qualitative Reasoning about Physical Systems , 1985 .

[2]  James D. Hollan,et al.  STEAMER: An Interactive Inspectable Simulation-Based Training System , 1984, AI Mag..

[3]  Paul Anthony Fishwick Hierarchical reasoning: simulating complex processes over multiple levels of abstraction , 1986 .

[4]  Edward H. Shortliffe,et al.  Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence) , 1984 .

[5]  Bernard P. Zeigler,et al.  Multifacetted Modelling and Discrete Event Simulation , 1984 .

[6]  Paul A. Fishwick TAXONOMY FOR PROCESS ABSTRACTION IN SIMULATION MODELING. , 1987 .

[7]  R. Shipley,et al.  Tracer methods for in-vivo kinetics;: Theory and applications , 1972 .

[8]  F. Brauer,et al.  The Qualitative Theory of Ordinary Differential Equations: An Introduction , 1989 .

[9]  Michael Garet,et al.  Introduction to Computer Simulation: The System Dynamics Approach , 1982 .

[10]  Tuncer I. Ören Artificial intelligence and simulation: From cognitive simulation toward cognizant simulation , 1987, Simul..

[11]  D. Gentner,et al.  Flowing waters or teeming crowds: Mental models of electricity , 1982 .

[12]  A. Goldberger,et al.  Causal Models in the Social Sciences. , 1972 .

[13]  Benjamin J. Kaipers,et al.  Qualitative Simulation , 1989, Artif. Intell..

[14]  Gregor Kiczales,et al.  Issues in the pragmatics of qualitative modeling: lessons learned from a xerographics project , 1987, CACM.

[15]  A. Wayne Wymore,et al.  A mathematical theory of systems engineering--the elements , 1967 .

[16]  Benjamin Kuipers,et al.  Qualitative Simulation , 1986, Artificial Intelligence.

[17]  Edward J. Beltrami,et al.  Mathematics for Dynamic Modeling , 1987 .

[18]  A. Kandel Fuzzy Mathematical Techniques With Applications , 1986 .

[19]  Bernard P. Zeigler,et al.  Theory of Modelling and Simulation , 1979, IEEE Transactions on Systems, Man and Cybernetics.

[20]  Tuncer I. Ören Al editorial , 1987 .

[21]  Paul A. Fishwick,et al.  The role of process abstraction in simulation , 1988, IEEE Trans. Syst. Man Cybern..

[22]  Johann Pfanzagl,et al.  Theory of measurement , 1970 .

[23]  F. Roberts Discrete Mathematical Models with Applications to Social, Biological, and Environmental Problems. , 1976 .

[25]  Ernest Davis,et al.  Constraint Propagation with Interval Labels , 1987, Artif. Intell..

[26]  Bernard P. Zeigler,et al.  Artificial intelligence in modelling and simulation: Directions to explore , 1987, Simul..

[27]  Herbert A. Simon,et al.  Causality in Device Behavior , 1989, Artif. Intell..

[28]  Kevin T. Kelly,et al.  Discovering Causal Structure. , 1989 .

[29]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .