Skip to main content
SpringerLink
Log in

Algorithmic Analysis of Production Systems Used as Agent-Based Social Simulation Models

  • Conference paper
Epistemological Aspects of Computer Simulation in the Social Sciences (EPOS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5466))

Abstract

Algorithmic analysis of models is a standard tool in general, but is rarely attempted in the context of computer models for agent-based social simulation. We explore the algorithmic analysis of simulation models that take the form of production systems as defined in computer science. Several implemented analysis algorithms for a particular type of production system are described, including algorithms for model abstraction and for agent discovery. Examples of the use of these algorithms are given and their significance and potential considered. In particular, it is explained how an algorithm for model abstraction, developed in the context of production system models, has been successfully applied to the Iruba model of a guerrilla war, a complex multi-agent model programmed in C, a general purpose programming language.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

  1. Beckett Ian, F.W.: Modern Insurgencies and Counter-Insurgencies: guerrillas and their opponents since 1750. Routledge, London (2001)

    Book  Google Scholar 

  2. Bosse, T., Treur, J.: Formal Interpretation of a Multi-Agent Society As a Single Agent. JASSS 9(2) (2006), http://jasss.soc.surrey.ac.uk/9/2/6.html

  3. Doran, J.E.: Agents and MAS in STaMs. In: d’Inverno, M., Luck, M., Fisher, M., Preist, C. (eds.) UKMAS Workshops 1996-2000. LNCS, vol. 2403, pp. 131–151. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  4. Doran, J.E.: Iruba: an Agent Based model of the Guerrilla War Process. In: Klaus, G., Troitzsch, F. (eds.) Representing Social Reality, Pre-Proceedings of the Third Conference of the European Social Simulation Association (ESSA), Koblenz, September 5–9, 2005, pp. 198–205 (2005)

    Google Scholar 

  5. Doran, J.E.: Modelling a Typical Guerrilla War. In: Proceedings IEEE DIS 2006 Workshop (Knowledge Systems for Coalition Operations strand), Prague (June 2006)

    Google Scholar 

  6. Doran, J.E., Gilbert, N.: Simulating Societies: an Introduction. In: Gilbert, N., Doran, J.E. (eds.) Simulating Societies, pp. 1–18. UCL Press (1994)

    Google Scholar 

  7. Fishwick, P.A.: Simulation Model Design and Execution. Prentice-Hall, Englewood Cliffs (1995)

    Google Scholar 

  8. Giarratano, J., Riley, G.: Expert Systems: Principles and Programming. PWS-Kent Pub. Co., Boston (1989)

    Google Scholar 

  9. Gilbert, N., Troitzsch, K.: Simulation for the Social Scientist, 2nd edn. UCL Press, London (2005)

    Google Scholar 

  10. Hart, P.: The I.R.A at War, Oxford, pp. 1916–1923 (2003)

    Google Scholar 

  11. Ibrahim, Y., Scott, P.: Automated Abstraction for Rule-Based Multi-Agent Systems. In: Proc. ESSA 2004, Valladolid, Spain (2004)

    Google Scholar 

  12. Russell, S., Norvig, P.: Artificial Intelligence, a modern approach. Prentice-Hall, Englewood Cliffs (1995)

    MATH  Google Scholar 

  13. Teran, O., Edmonds, B., Wallis, S.: Mapping the envelope of social simulation trajectories. In: Moss, S., Davidsson, P. (eds.) MABS 2000. LNCS (LNAI), vol. 1979, pp. 229–243. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  14. Weiss, S.M., Kulikowski, C.A., Amarel, S., Saffir, A.: A model-based method for computer-aided medical decision-making. Artificial Intelligence 11, 145–172 (1978)

    Article  Google Scholar 

  15. Wooldridge, M.: MultiAgent Systems. Wiley and Sons, Chichester (2002)

    Google Scholar 

  16. Wulf, W.A., Shaw, M., Hilfinger, P.N., Flon, L.: Fundamental Structures of Computer Science. Addison-Wesley, Reading (1981)

    MATH  Google Scholar 

  17. Zeigler, B.P.: Object-Oriented Simulation with Hierarchical, Modular Models: intelligent agents and endomorphic systems. Academic Press, London (1990)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK

    Jim Doran

Authors
  1. Jim Doran
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Social Sciences, University of Brescia, San Faustino 74/b, 25122, Brescia, Italy

    Flaminio Squazzoni

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Doran, J. (2009). Algorithmic Analysis of Production Systems Used as Agent-Based Social Simulation Models. In: Squazzoni, F. (eds) Epistemological Aspects of Computer Simulation in the Social Sciences. EPOS 2006. Lecture Notes in Computer Science(), vol 5466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01109-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01109-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01108-5

  • Online ISBN: 978-3-642-01109-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation