Skip to main content
Springer Nature Link
Log in

Preliminary

  • Chapter
  • First Online:
Body of Knowledge for Modeling and Simulation

Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

  • 1062 Accesses

Abstract

In this chapter, we provide an introductory view for the scope of the SCS M&S Body of Knowledge, including the terminology. We provide a rationale for the theoretical basis of M&S and give an overview of the modeling and simulation framework (MSF) applied in many contributions, followed by the basic system entity structure (SES) concepts.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ören TI (2011a) The many facets of simulation through a collection of about 100 definitions. SCS M&S Magazine, 2:2 (April), pp. 82–92. http://scs.org/wp-content/uploads/2016/12/2011-04-Issue06-6.pdf. Accessed: 2019–01–24

  2. Ören TI (2011b) A critical review of definitions and about 400 types of modelling and simulation. SCS M&S Mag 2:3 (July):142–151. http://scs.org/wp-content/uploads/2016/12/2011-04-Issue06-6.pdf. Accessed: 2019–01–24

  3. Ören T, Mittal S, Durak U (Invited Chapter) Modeling and simulation: the essence and increasing importance. In: Niazi MA (ed) Modeling and simulation of complex communication networks, the IET book series on big data. (Appendix A: A list of over 750 types of simulation, Appendix B: A list of 900 types of models, and Appendix C: A list of 120 types of input)

    Google Scholar 

  4. Appendix A1—Dictionaries of modeling and simulation, cybernetics, and systems (compiled by Tuncer Ören)

    Google Scholar 

  5. Durak U, Őren T, Tolk A (2017) An index to the body of knowledge of simulation systems engineering. In: Tolk A, Őren T (eds) The profession of modeling and simulation: discipline, ethics, education, vocation, societies, and economics. Wiley.

    Google Scholar 

  6. Sargent RG (2017) A perspective on fifty-five years of the evolution of scientific respect for simulation. In: Chan WKV, D'Ambrogio A, Zacharewicz G, Mustafee N, Wainer G, Page E (eds) Page proceedings of the 2017 winter simulation conference

    Google Scholar 

  7. Zeigler BP, Muzy A, Kofman E (2018) Theory of modelling and simulation, 3rd edn. Elsevier Academic Press

    Google Scholar 

  8. Zhang L, Zeigler BP, LaiLi Y (2019) Model engineering for simulation, (co-volume with TMS3rd Ed.) Elsevier

    Google Scholar 

  9. Zeigler BP, Muzy A, Kofman E (3rd edn, 2019) Theory of modeling and simulation: discrete event & iterative system computational foundations, Elsevier. Please note: Chapters from this latest (3rd) edition can be downloaded from: https://www.sciencedirect.com/book/9780128133705/theory-of-modeling-and-simulation or from Researchgate.net (requesting from Alex Muzy or B.P. Zeigler)

  10. Balci O (2012) A life cycle for modeling and simulation. Simulation 88(7):870–883

    Article  Google Scholar 

  11. Zeigler BP (1984) Multifaceted modelling and discrete event simulation. Academic Press

    MATH  Google Scholar 

  12. Rozenblit JW, Zeigler BP (1993) Representing and constructing system specifications using the system entity structure concepts. In: Winter simulation conference, Los Angeles, pp 604–611

    Google Scholar 

  13. Zeigler BP, Praehofer H, Kim TG (2000) Theory of modelling and simulation, 2nd edn. Elsevier Academic Press

    Google Scholar 

  14. Pawletta T, Durak U, Schmidt A (2019) Modeling and simulation of versatile technical systems using an extended system entity structure/model base infrastructure. In: Zhang L, Zeigler BP, Laili Y (eds) Model engineering for simulation. Elsevier Academic Press, pp 393–418 (Chapter 18)

    Google Scholar 

  15. Schmidt A, Durak U, Pawletta T (2016) Model-based testing methodology using system entity structures for MATLAB/simulink models. Simul Trans Soc Model Simul Int 92(8):729–746

    Google Scholar 

  16. Folkerts H, Pawletta T, Deatcu C, Zeigler BP (2020) Automated, reactive pruning of system entity structures for simulation engineering. SpringSim’20, May 19–21, Fairfax, VA, USA, Society for Modeling & Simulation International (SCS), 12 pages

    Google Scholar 

  17. Folkerts H, Pawletta T, Deatcu C (2020) Model generation for multiple simulators using SES/MB and FMI. ASIM SST 2020, October 14–15, St. Augustin, Germany, ARGESIM report 59, pp 13–20. https://doi.org/10.11128/arep.59.a59003

  18. Zeigler BP, Hammonds P (2007) Modeling and simulation-based data engineering. Academic Press, Burlington

    Google Scholar 

  19. Santucci JF, Capocchi L, Zeigler BP (2016) System entity structure extension to integrate abstraction hierarchies and time granularity into DEVS modeling and simulation. Simul Trans Soc Model Simul Int 92(8):747–794

    Google Scholar 

  20. Capocchi L, Santucci JF, Pawletta T, Folkerts H, Zeigler BP (2020) Discrete-event simulation model generation based on activity metrics. Simul Model Pract Theory 103:102122 (41 pages). https://doi.org/10.1016/j.simpat.2020.102122

  21. Fujimoto R, Bock C, Chen W, Page E, Panchal JH (eds) (2017) Research challenges in modeling and simulation for engineering complex systems. Springer International Publishing AG

    Google Scholar 

  22. Zeigler BP (1976) Theory of modeling and simulation. Academic Press, Elsevier

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  2. University of Arizona, Tucson, USA

    Bernard P. Zeigler

  3. University of Applied Sciences in Wismar, Wismar, Germany

    Thorsten Pawletta

Authors
  1. Tuncer Ören
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bernard P. Zeigler
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thorsten Pawletta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tuncer Ören .

Editor information

Editors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  2. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA

    Bernard P. Zeigler

  3. The MITRE Corporation, Charlottesville, VA, USA

    Andreas Tolk

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ören, T., Zeigler, B.P., Pawletta, T. (2023). Preliminary. In: Ören, T., Zeigler, B.P., Tolk, A. (eds) Body of Knowledge for Modeling and Simulation. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-11085-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-11085-6_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-11084-9

  • Online ISBN: 978-3-031-11085-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics