Skip to main content
SpringerLink
Log in

Model-Based Activities: A Paradigm Shift

  • Conference paper
Simulation and Model-Based Methodologies: An Integrative View

Part of the book series: NATO ASI Series ((NATO ASI F,volume 10))

Abstract

The aim of this chapter is to explore the possibilities to place simulation in a central position for several scientific disciplines. The following topics are discussed:

  1. 1)

    A proposed shift of paradigm in simulation,

  2. 2)

    Fundamental elements of a simulation study,

  3. 3)

    Models and behavior,

  4. 4)

    Synergies of simulation, software engineering, artificial intelligence, and general system theories,

  5. 5)

    Elements of a model-based simulation software system,

  6. 6)

    Knowledge-based modelling and simulation systems,

  7. 7)

    Highlights of desirable research directions in simulation methodology and software.

This study has been sponsored by the Natural Sciences and Engineering Research Council of Canada (NSERC) by the Operating Grant A8117.

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

Access this chapter

Log in via an institution
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

  • Batory, D.S., C.C. Gotlieb (1982). A Unifying Model of Physical Databases. ACM Transactions of Database Systems, Vol. 7, No. 4, pp. 509–539.

    Article  MATH  Google Scholar 

  • Bell, D. (1976). Welcome to the Post-Industrial Society. Physics Today, Feb.

    Google Scholar 

  • Bonczek, R.H., C.W. Holsapple, A.B. Whinston (1981). Foundations of Decision Support Systems. Academic Press, New York, 393 p.

    Google Scholar 

  • Cavallo, R.E. (1979). Systems Research Movement: Characteristics, Accomplishments, and Current Developments. General Systems Bulletin, Special Issue, Summer 1979, Vol. 9, No. 3.

    Google Scholar 

  • Chen, P.P. (1980). Entity-Relationship Approach to Systems Analysis and Design. North- Holland, Amsterdam, 663 p.

    Google Scholar 

  • Dekker, L. (1983). Concepts for an Advanced Simulation Architecture. In: Simulation and Model-Based Methodologies: An Integrative View, T.I. Ören, B.P. Zeigler, M.S. Elzas (Eds.). Springer-Verlag, Heidelberg, Germany. (Chapter 9 of this Book)

    Google Scholar 

  • DeRemer, F., H. Kron (1975). Programming in-the-large versus Programming-in-the-small. In: Proc. of International Conference on Reliable Software, pp. 114–121.

    Chapter  Google Scholar 

  • Drucker, P.F. (1968). The Age of Discontinuity. Harper Colophon edition (1978), New York. 402 p.

    Google Scholar 

  • Duda, R.O., N.J. Nilsson, B. Raphael (1980). State of Technology in Artificial Intelligence. In: Research Directions in Software Technology, P. Wegner (Ed.). MIT, Cambridge, MA, pp. 729–749.

    Google Scholar 

  • Elzas, M.S. (1979). What is needed for Robust Simulation? In: Methodology of Systems Modelling and Simulation, B.P. Zeigler et al. (Eds.). North-Holland, Amsterdam, pp. 57–91.

    Google Scholar 

  • Elzas, M.S. (1980). Simulation and the Processes of Change. (Keynote Paper). In: Simulation with Discrete Models: A State-of-the-Art View, T.I. Ören et al. (Eds.). IEEE, NY, pp. 3–18.

    Google Scholar 

  • Fick, G., R.H. Sprague Jr. (Eds.) (1980). Decision Support Systems: Issues and Challenges. Pergamon Press, Oxford, 189 p.

    Google Scholar 

  • Fuchs, H. (Ed.) (1981). Proceedings of ACM SIGGRAPH/81 Conference. Dallas, TX, 1981 Aug. 3–7. ACM SIGGRAPH, Vol. 15, No. 3, 325 p.

    Google Scholar 

  • Futo, I., Gergely, T. (1983). A Logical Approach to Simulation. In: Adequate Modelling of Systems, H. Wedde (Ed.). Springer-Verlag, Berlin, W. Germany, pp. 25–48.

    Chapter  Google Scholar 

  • Greenberg, H.J. (1981). Implementation Aspects of Model Management: A Focus on Computer-Assisted Analysis. In: Computer-Assisted Analysis and Model Simplification, Greenberg, H.J., J.S. Maybee (Eds.). Academic Press, H.J. New York, pp.455–479.

    Google Scholar 

  • Greenberg, H.J., J.S. Maybee (Eds.) (1981). Computer-Assisted Analysis and Model Simplification. Academic Press, New York, 522 p.

    MATH  Google Scholar 

  • Greenspan, D. (1973). Discrete Models. Addison-Wesley, Reading, MA., 165 p.

    MATH  Google Scholar 

  • Grenspan, D. (1980). Arithmetic Applied Mathematics. Pergamon Press, Elmsford, NY. 165 p.

    Google Scholar 

  • Hanken, A.F.G., H.A. Reuver (1981). Social Systems and Learning Systems. Martinus Nijhoff, Boston, MA 246 p.

    Book  Google Scholar 

  • Hogeweg, P., Hesper, B. (1979). Heterarchical, Self-structuring Simulation Systems: Concepts and Applications in Biology. In: Methodology in Systems Modelling and Simulation. B.P. Zeigler et al. (Eds.). North-Holland, Amsterdam, pp. 221–232.

    Google Scholar 

  • Hogeweg, P., Hesper, B. (1981). Self-structuring Simulation Systems. In: Proc. of CYBERSOFT 80 — International Symposium on Cybernetics and Software, T.I. Ören (Ed.). International Association for Cybernetics, Namur, Belgium, pp. 61–74

    Google Scholar 

  • Hubbard, G.U. (1981). Computer-Assisted Data Base Design. Van Nostrand Reinhold, New York, 285 p.

    Google Scholar 

  • Hunt, R. (1978). Large-Scale Systems Theories: Some Paradigms from Software Systems Engineering. In: Cybernetics and Modelling and Simulation of Large-Scale Systems, T.I. Ören (Ed.). International Association for Cybernetics, Namur, Belgium-

    Google Scholar 

  • Jones, D.D. (1977). Catastrophe Theory Applied to Ecological Modelling. Simulation, Vol. 29, No. 1, pp. 1–15.

    Article  Google Scholar 

  • Klahr, P., W.S. Fought (1980). Knowledge-Elased Simulation. Proceedings of the First Annual Conference of the American Association for Artificial Intelligence, Stanford, CA, pp. 181–183.

    Google Scholar 

  • Klir, G.J. (1969). An Approach to General Systems Theory. Van Nostrand Reinhold, New York, NY, 323 p.

    Google Scholar 

  • Klir, G.J. (Ed.) (1977). Applied General Systems Research. Plenum Press, New York, 1001 p.

    Google Scholar 

  • Korn, A., J.V. Wait (1978). Digital Continuous-System Simulation. Prentice-Hall, Engle- wood Cliffs, New Jersey.

    Google Scholar 

  • Kuhn, T.S. (1962). The Structure of Scientific Revolution. International Encyclopedia of Unified Science, Vol. 2, No. 2, University of Chicago Press, Chicago, Illinois, 172 p.

    Google Scholar 

  • Malhotra, A., H.M. Markowitz, D.P. Pazel (1981), The EAS-E Programming Language. Research Report RC 8935, IBM T.J. Watson Research Center, Yorktown Heights, NY, 246 p.

    Google Scholar 

  • Markowitz, H.M. (1981). Barriers to the Practical Use of Simulation Analysis. In: 1981 Winter Simulation Conference Proceedings (Keynote Paper). T.I. Oren, C.M. Delfosse, C.M. Shub (Eds.). IEEE, New York. pp. 3–9.

    Google Scholar 

  • Mathewson, S.C. (1974). Simulation Program Generators. Simulation, Vol. 23, No. 6, pp. 181–187.

    Article  Google Scholar 

  • Mesarovic, M.D., Takahara, Y. (1975). General Systems Theory: Mathematical Foundations. Academic Press, New York, NY, 268 p.

    MATH  Google Scholar 

  • Minsky, M.L. (1965). Matter, Mind, and Models. Proceedings of IFIP Congress, Vol. 1, Spartan Books, pp. 45–49.

    Google Scholar 

  • Nalimov, V.V. (1981). Faces of Science. ISI Press, Philadelphia, PA, 297 p.

    Google Scholar 

  • Nance, R.E. (1977). The Feasibility of and the Methodology for Developing Federal Documentation Standards for Simulation Models. Final Report to the National Bureau of Standards, Dept. of Computer Science, Virginia Tech.

    Google Scholar 

  • Nance, R.E., A.L. Mezaache, C.M. Overstreet (1981). Simulation Model Management: Resolving the Technological Gaps. In: T.I. Ören, C.M. Delfosse, C.M. Shub (Eds.), Proceedings of the 1981 Winter Simulation Conference, pp. 173–179.

    Google Scholar 

  • Oldfather, P.M., A.S. Ginsberg, H.M. Markowitz (1967). Programming by Questionnaire: The Job Shop Simulation Program Generator. Memorandum RM-5162-PM, The Rand Corp., Santa Monica, CA, 102 p.

    Google Scholar 

  • Ören, T.I. (1976). An Annotated Bibliography on Simulators. Simulation, Vol. 27, No. 6, pp. 193–196.

    Article  Google Scholar 

  • Ören, T.I. (1978a). A Personal View on the Future of Simulation Languages (Keynote Paper). Proceedings of the 1978 UKSC Conference on Computer Simulation, IPC Science and Technology Press, Chester, England, April 4–6, 1978, pp. 294–306.

    Google Scholar 

  • Ören, T.I. (1978b). Rationale for Large-Scale System Simulation Software Based on Cybernetics and System Theories. In: Cybernetics and Modelling and Simulation of Large Scale Systems, T.I. Ören (Ed.). International Association for Cybernetics, Namur, Belgium, pp. 151–179.

    Google Scholar 

  • Ören, T.I. (1978c). Modelling, Model Manipulation and Programming Concepts in Simulation, In: Modelling, Identification and Control in Environmental Systems, G.G. Vans- teenkiste (Ed.). North-Holland, Amsterdam, pp. 833–842.

    Google Scholar 

  • Ören, T.I. (1979). Concepts for Advanced Computer-Assisted Modelling. In: Methodology of Systems Modelling and Simulation, B.P. Zeigler et al. (Eds.). North-Holland, pp. 29–55

    Google Scholar 

  • Oren, T.I. (1981a). Foundations for an Information Technology. In: Proceedings of 1981 Winter Simulation Conference, T.I. Ören, C.M. Delfosse, C.M. Shub (Eds.). IEEE, New York, pp. 201–108.

    Google Scholar 

  • Oren, T.I. (Ed.) (1981b). Proceedings of CYBERSOFT 80 — International Symposium on Cybernetics and Software. International Association for Cybernetics, Namur, Belgium. 32 p.

    Google Scholar 

  • Oren, T.I. (1981c). Concepts and Criteria to Assess Acceptability of Simulation Studies: A Frame of Reference. Communications of ACM, Vol. 24, No. 4, pp. 180–189.

    Article  Google Scholar 

  • Oren, T.I. (1982). Promising Synergies of Simulation Model Management, Software Engineering, Artificial Intelligence, and General System Theories. In: Proceedings of the 26th Annual Conference of the Society for General Systems Research, L. Tróncale (Ed.). Vol. 1, pp. 197–204.

    Google Scholar 

  • Oren, T.I. (1983a). Quality Assurance in Modelling and Simulation. In: Simulation and Model-Based Methodologies: An Integrative View, T.I. Oren, B.P. Zeigler, M.S. Elzas (Eds.). Springer Verlag, Heidelberg, W. Germany. (Chapter 17 of this Book).

    Google Scholar 

  • Oren, T.I. (1983b). Computer-Aided Modelling Systems (Keynote Paper — SIMULATION ‘80 Symposium, Interlaken, Switzerland, 1980 June 25–27). In: Progress in Modelling and Simulation, F.E. Cellier (Ed.). Academic Press, London, England, pp. 189–203.

    Google Scholar 

  • Oren, T.I. (1983c). Quality Assurance of System Design and Model Management for Complex Problems. In: Adequate Modeling of Systems, H. Wedde (Ed.). Springer-Verlag, Heidelberg, W. Germany, pp. 205–21.

    Chapter  Google Scholar 

  • Oren, T.I. (1984a — In Press). Model-Based Information Technology: Computer and System Theoretic Foundations. Behavioral Science.

    Google Scholar 

  • Oren, T.I. (1984b — In Press). Directions for the Future of Modelling and Simulation: A Normative View. International Journal of Systems Analysis, Modelling, Simulation, Vol. 1, No. 1.

    Google Scholar 

  • Oren, T.I. (1984c — In Press). Simulation Models: A Taxonomy. In: Encyclopedia of Systems and Control, M. Shingh (Ed.). Pergamon Press, Oxford, England.

    Google Scholar 

  • Oren, T.I., B.P. Zeigler (1979). Concepts for Advanced Simulation Methodologies. Simulation, Vol. 32, No. 3, pp. 69–82.

    Article  Google Scholar 

  • Padulo, L., Arbib, M.A. (1974). System Theory — A Unified State-Space Approach to Continuous and Discrete Time Systems. W.B. Saunders, Philadelphia, 779 p.

    Google Scholar 

  • Pichler, F. (1983). Symbolic Manipulation of System Models. In: Simulation and Model- Based Methodologies: An Integrative View, T.I. Oren, B.P. Zeigler, M.S. Elzas (Eds.). Springer-Verlag, Heidelberg, Germany. (Chapter 8 of this Book)

    Google Scholar 

  • Shantikumar, J.G., R.G. Sargent (1982). A Unifying View of Hybrid Simulation/Analytical Models and Modelling. Working Paper E82–0003, Dept. of Industrial Engineering and Operations Research, Syracuse University, Syracuse, NY. 44 p. (Also In: Proceedings of IFORS Conference, Operations Research ‘81, North-Holland).

    Google Scholar 

  • Tsichritzis, D.C., F.H. Lochovsky (1982). Data Models. Prentice-Hall, Englewood Cliffs, New Jersey, 381 p.

    Google Scholar 

  • Usher, A.P. (1929). A History of Mechanical Inventions. Beacon Press Edition (1959), Beacon Hill, Boston, MA

    MATH  Google Scholar 

  • Vitanyi, P.M.B. (1980). Lindenmayer Systems: Structure, Languages, and Growth Functions. Mathematical Centre, Amsterdam. 209 p.

    MATH  Google Scholar 

  • Wymore, A.W. (1967). A Mathematical Theory of Systems Engineering — The Elements. Wiley, New York, 353 p.

    Google Scholar 

  • Wymore, A.W. (1976). Systems Engineering Methodology for Interdisciplinary Teams. Wiley-Interscience, New York, 431 p.

    Google Scholar 

  • Zadeh, L.A., Polak, E. (1969). System Theory. McGraw-Hill, New York, 521 p.

    Google Scholar 

  • Zeigler, B.P. (1976). Theory of Modelling and Simulation. Wiley, New York. 435 P.

    MATH  Google Scholar 

  • Zeigler, B.P. (1979). Modelling and Simulation Methodology: State of the Art and Promising Directions. In: Proceedings of the IMACS Simulation of Systems Conference, North-Holland, Amsterdam.

    Google Scholar 

  • Zeigler, B.P. (1980). Concepts and Software for Advanced Simulation Methodologies. In: Simulation with Discrete Models: A State-of-the-Art View, T.I. Oren, C.M. Shub, P.F. Roth (Eds.). IEEE, New York, pp. 25–44.

    Google Scholar 

  • Zeigler, B.P., M.S. Elzas, G.J. Klir, T.I. Oren (Eds.) (1979). Methodology in Systems Modelling and Simulation. North-Holland, Amsterdam, 537 p.

    MATH  Google Scholar 

  • Zeleny, M. (Ed.) (1980). Autopoiesis, Dissipative Structures, and Spontaneous Social Orders. West view Press (for A A AS), Boulder, CO. 149 p.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University of Ottawa, Ottawa, Ontario, KIN 9B4, Canada

    Tuncer İ. Ören

Authors
  1. Tuncer İ. Ören
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Science Department, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer I. Ören

  2. Computer Science Department, Wayne State University, Detroit, Illinois, USA

    Bernard P. Zeigler

  3. Computer Science Department, Dutch Agricultural University, Wageningen, The Netherlands

    Maurice S. Elzas

Rights and permissions

Reprints and permissions

Copyright information

© 1984 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ören, T.İ. (1984). Model-Based Activities: A Paradigm Shift. In: Ören, T.I., Zeigler, B.P., Elzas, M.S. (eds) Simulation and Model-Based Methodologies: An Integrative View. NATO ASI Series, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82144-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-82144-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82146-2

  • Online ISBN: 978-3-642-82144-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation