Simulation model design

ABSTRACT

Presents a structure for defining and categorizing simulation model designs. In the past, simulation researchers have created categories for discrete event simulation: event, process and activity; however, there are problems with this breakdown. First, the major problem is that the taxonomy based on these three sub-types deals with only discrete event methods. Discrete time methods including a spatial decomposition of a physical system (cellular automata, L-Systems) or a continuous model are not included. Second, the terms "event", "process" and "activity" create a division among classes of simulation languages, rather than a division based on model design. The term "process", for example, is really a level of abstraction higher than "event" and is not orthogonal to "event." The structure that we present in this talk is more comprehensive and provides simulationists with a unified framework that is independent of the terms discrete and continuous.

REFERENCES

• 1: Grady Booch, Object oriented design with applications, Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, 1990
• 2: Breedveld, P. C. 1986. A Systematic Method to Derive Bond Graph Models. In Second European Simulation Congress, Antwerp, Belgium.
• 3: R. C. Dorf, Modern Control Systems, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1988
• 4: Paul A. Fishwick, An integrated approach to system modeling using a synthesis of artificial intelligence, software engineering and simulation methodologies, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.2 n.4, p.307-330, Oct. 1992 [doi>10.1145/149516.149530]
• 5: Fishwick, P. A. 1993. A simulation environment for multimodeling. Discrete Event Dynamic Systems: Theory and Applications 3, 151-171.
• 6: Paul A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Prentice Hall PTR, Upper Saddle River, NJ, 1995
• 7: Paul A. Fishwick , Bernard P. Zeigler, A multimodel methodology for qualitative model engineering, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.2 n.1, p.52-81, Jan. 1992 [doi>10.1145/132277.132280]
• 8: John E. Hopcroft , Jeffrey D. Ullman, Introduction To Automata Theory, Languages, And Computation, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1990
• 9: Jacquez, J. A. 1985. Compartmental Analysis in Biology and Medicine (2nd ed.). University of Michigan Press.
• 10: Karnopp, D. C., D. L. Margolis, and R. C. Rosenberg. 1990. System Dynamics. John Wiley and Sons.
• 11: M. H. MacDougall, Simulating computer systems: techniques and tools, MIT Press, Cambridge, MA, 1987
• 12: Ben Moszkowski, Executing temporal logic programs, Cambridge University Press, New York, NY, 1986
• 13: Katsuhiko Ogata, Modern control engineering (3rd ed.), Prentice-Hall, Inc., Upper Saddle River, NJ, 1996
• 14: James Lyle Peterson, Petri Net Theory and the Modeling of Systems, Prentice Hall PTR, Upper Saddle River, NJ, 1981
• 15: P. Prusinkiewicz , Aristid Lindenmayer, The algorithmic beauty of plants, Springer-Verlag New York, Inc., New York, NY, 1990
• 16: R. Raghuram, Computer simulation of electronic circuits, Halsted Press, New York, NY, 1988
• 17: David Andersen , Nancy Roberts , Ralph Deal , Michael Garet , William D. Shaffer, Introduction to Computer Simulation: The System Dynamics Approach, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1983
• 18: James Rumbaugh , Michael Blaha , William Premerlani , Frederick Eddy , William Lorensen, Object-oriented modeling and design, Prentice-Hall, Inc., Upper Saddle River, NJ, 1991
• 19: Lee Schruben, Simulation modeling with event graphs, Communications of the ACM, v.26 n.11, p.957-963, Nov. 1983 [doi>10.1145/182.358460]
• 20: Tommaso Toffoli , Norman Margolus, Cellular automata machines: a new environment for modeling, MIT Press, Cambridge, MA, 1987
• 21: Wolfram, S. 1986. Theory and Applications o/ Cellular Automata. Singapore: World Scientific Publishing. (includes selected papers from 1983- 1986).
• 22: Woods, W. A. 1975. What's in a Link: Foundations for Semantic Networks. In D. Bobrow and A. Collins (Eds.), Representation and Understanding. Academic Press.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING

Additional Classification:
  D. Software
  D.1 PROGRAMMING TECHNIQUES

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.1 Simulation Theory
          Subjects: Model classification
      I.6.8 Types of Simulation
          Subjects: Discrete event

General Terms:
Design, Theory