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Multifaceted, multiparadigm modeling perspectives: tools for the 90's
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Source Winter Simulation Conference archive
Proceedings of the 18th conference on Winter simulation table of contents
Washington, D.C., United States
Pages: 708 - 712  
Year of Publication: 1986
ISBN:0-911801-11-1
Authors
Bernard P. Zeigler  Deoartment of Electrical and Computer Engineering, The University of Arizona, Tucson, Arizona
Tuncer I. Ören  Computer Science Department, University of Ottawa, Ottawa, Ontario K1N 9B4, Canada
Sponsor
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 22,   Citation Count: 7
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ABSTRACT

Multiplicities of perspective inherent in modelling and simulation methodology are enumerated and rationales given for their existence. Characteristics of futuristic simulation environments which support flexible adoption of multiple perspectives are outlined. Finally, we discuss the construction of models which simultaneously embody differing perspectives. Advances in modelling methodology along these lines will constitute a quantum leap in tool sophistication which can greatly extend the domain of simulation application.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Clema, J.K., Werling, R., Chande, A: (1986). Knowledge Bases and Machine Learning. In: Proceedings of Application of Artificial Intelligence to Engineering Problems, Southampton, England, April 1986.
 
5
Davis, P.K. (1986). Applying Artificial Intelligence Techniques to Strategic-Level Gaming and Simulation. In: Modelling and Simulation Methodology in the Artificial Intelligence Era, M.S. Elzas, T.I. Oren. B.P. Zeigler (Ed.s). North Holland, Amsterdam.
 
6
Elzas, M.S., Oren, T.I., Zeigler, B.P. (Eds.) (1968). Modelling and S~mulation Methodology in the Artificial Intelligence Era, North Holland, Amsterdam.
 
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Hogeweg, P., Hesper, B. (1979). Heterarchical, Selfstructuring Simulation Systems: Concepts and Applications in B~ology. In: Methodology in Systems Modelling and Simulation, B.P. Zeigler, M.S. Elzas, G.j. K1ir, T.I. Oren (Eds.). North Holland, Amsterdam, pp. 221-232.
 
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11
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Oren, T.I. (1977). Cybernetics and Modelling And Simualtion of Large Scale Systems. International Association for Cybernetics, Namur, Belgium.
 
18
Oren, T.I. (1978). A Personal View on the Future of Simulation Languages (Keynote Paper). In: Proceedings of the 1978 UKSC Conference on Computer Simulation, IPC Science and Technology Press, Chester, England, April 4-6, 1978, pp. 294-306.
 
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Oren, T.I. (1984a). Direction for the Future of Modelling and Simulation: A Normative View. International Journal of Systems Analysis, Modelling, Simulation, Vol. I, No, 4, pp. 293-306.
 
22
Oren, T.I. (1984b). Model-Based Activities: A Paradigm Shift. In" Simulation and Model- Based Methodologies: An Integrative View. T.I. Oren, B.P. Zeigler, M.S. Elzas (Ed.s). North-Holland, Amsterdam, pp. 3-40.
 
23
Oren, T.I. (1984c). GEST - A Modelling and Simulation Language Based on System Theoretic Concepts. In: Simulation and Model- Based Methodologies: An Integrative View. (Eds.). North-Holland, Amsterdam, pp. 281-335.
 
24
Oren, T.I. (1984d). Model-Based Information Technology: Computer and System Theoretic Foundations. Behavioral Science, July 1984, Vol. 29, No. 3, pp. 179-185.
 
25
Oren, T.I. (1986a). Implications of Machine Learning in Simulation. In" Modelling And Intelligence Era. M.S. Elzas, T.I. Oren, B.P. Zeigler (Eds.), North-Holland.
 
26
Oren, T.I. (1986b). Artificial Intelligence in Quality Assurance of Simulation Studies. In: Modelling And Simulation Methodology in the Artificial Intelligence Era. M.S. Elzas, T.I. Oren, B.P. Zeigler (Eds.), North-Holland, Amsterdam.
 
27
Oren, T.I. (1986c - In Press). Model Behavior: A Taxonomy of Types and Generation and Processing Techniques. In: Systems and Control Encyclopedia: Theory, Technology, and Applications, M. Singh (Ed.), Pergamon Press, Oxford, England.
 
28
Oren, T.I. (1986d). Artificial Intelligence and Simulation.. In: Artifical Intelligence Applied to Simulation. E.j.H. Kerckhoffs, G.C. Vansteenkiste, B.P. Zeigler (Eds.). Society for Computer Simulation, San Diego, CA, pp. 3-8.
 
29
Oren, T.I., Elzas, M.S., Sheng, O. (1985a). Model Reliability and Software Quality Assurance in Simulation of Nuclear Fuel Waste Management Systems. In: Waste Management '85, Vol. i, R.G. Post (Ed.), pp. 381-396.
 
30
Oren, T.I., Ziegler, B.P. (1979). Concepts for Advanced Simulation Methodologies. Simulation, Vol. 32, No. 3, pp. 69-82.
 
31
Oren, T.I., Ziegler, B.P. (1986 - Submitted). Artificial Intelligence in Modell in9 and Simulation: Some Directions to Explore. Simu I ati on.
 
32
Oren, T.I., Zeigler, B.P., Elzas, M.S. (1985b). Simulation and Model-Based Methodologies: An Integrative View. Springer- Verlag, Berlin.
 
33
Reddy, Y.V.R., Fox, M.S., Husain, N., McRoberts, M. (1986). The Knowledge-Based Simulation System, IEEE Software, March, 1986.
 
34
 
35
Zeigler, B.P. (1979). Modelling and Simulation Methodology: State-of-the-ArL and Promising Direction. In: Proceedings of the IMACS Simulation of Systems Conference, North-Holland, Amsterdam.
 
36
 
37
Zeigler, B.P. (Ed.) (1985). Expert Systems and Simulation Models. Seminar Notes, Tucson, AZ.
 
38
Zeigler, B.P. (1986a). Simulation Methodology for Variable-Structure Modelling. In: Modelling And Simulation Methodology in the Artificial Intelligence Era. M.S. Elzas, T.I. Oren, B.P. Zeigler (Ed.s), North- Holland, Amsterdam.
 
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40
Zeigler, B.P., De Wael, L. (1986). Towards a Knowledge-Based Implementation of Multifacetted Methodology. In: Artificial Intelligence Applied to Simulation. E.J.H. Kerckhoffs, G.C. Vansteenkiste, B.P. Zeigler (Eds.). Society for Computer Simulation, San Diego, CA, pp. 42-51.
 
41
Zeigler, B.P., E}zas, M.S., Klir, G.J., Oren, T.I. (Fds.) (1979). Methodology in System Modelling And Simulation. North-Ho}land Amsterdam.
 
42
Zeigler, B.P., Oren, T.I., Reddy, R. (In preparation). Knowledge Representation in Simulation Environments: Expert Systems and Simulation Models.

CITED BY  7

Collaborative Colleagues:
Bernard P. Zeigler: colleagues
Tuncer I. Ören: colleagues