Skip to main content

Multi-Agent-Based Simulation: Why Bother?

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3891))

Abstract

This year’s MABS workshop was the sixth in a series which is intended to look at “using multi-agent models and technology in social simulation,” according to the the workshop series homepage [1]. We feel that this is an appropriate time to ask the participants and the wider community what it is that they hope to gain from this application of the technology, and more importantly, are the tools and techniques being used appropriate for achieving these aims? We are concerned that in many cases they are not, and consequently, false or misleading conclusions are being drawn from simulation results. In this paper, we focus on one particular example of this failing: the consequences of the inappropriate use of numbers. The translation of qualitative data into quantitative measures may enable the application of precise analysis, but unless the translation is done with extreme care, the analysis may simply be more precisely wrong. We conclude that as a community we need to pay careful attention to the tools and techniques that we are using, particularly when borrowing from other disciplines, to make sure that we avoid similar pitfalls in the future.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sichman, J.S.: Multi-agent-based simulation (MABS) – the international workshop series (2005), website http://www.pcs.usp.br/~mabs/

  2. Gilbert, N., Conte, R., Sichman, J.S.: ICMAS 1998 workshop on multi-agent systems and agent-based simulation (MABS) (1998), website http://cress.soc.surrey.ac.uk/mabs98.html

  3. de Jong, A., de Ruyter, K., Wetzels, M.: Antecedents and consequences of group potency: A study of self-managing service teams. Management Science 51, 1610–1625 (2005)

    Article  Google Scholar 

  4. Hales, D.: Change your tags fast! a necessary condition for cooperation? In: Davidsson, P., Logan, B., Takadama, K. (eds.) MABS 2004. LNCS (LNAI), vol. 3415, pp. 89–98. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Laursen, K., Salter, A.: Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms. Strategic Management Journal 27, 131–150 (2006)

    Article  Google Scholar 

  6. Sosa, R., Gero, J.S.: Social change: Exploring design influence. In: Hales, D., Edmonds, B., Norling, E., Rouchier, J. (eds.) MABS 2003. LNCS, vol. 2927, pp. 106–119. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  7. Pfeffer, J., Fong, C.T.: The end of business schools? less success than meets the eye. Academy of Management Learning & Education 1 (2002)

    Google Scholar 

  8. Ghoshal, S.: Bad management theories are destroying good management practices. Academy of Management Learning & Education 4, 75–91 (2005)

    Article  Google Scholar 

  9. Bennis, W.G., O’Toole, J.: How business schools lost their way. Harvard Business Review (2005)

    Google Scholar 

  10. Antunes, L., Balsa, J., Urbano, P., Moniz, L., Palma, C.R.: Tax compliance in a simulated heterogeneous multi-agent society. In: Sichman, J.S., Antunes, L. (eds.) MABS 2005. LNCS (LNAI), vol. 3891, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Melo, A., Belchior, M., Furtado, V.: Analyzing police patrol routes with the simulation of the physical reorganization of agents. In: Sichman, J.S., Antunes, L. (eds.) MABS 2005. LNCS (LNAI), vol. 3891, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Rodrigues, M.R., Luck, M.: Analysing partner selection through exchange values. In: Sichman, J.S., Antunes, L. (eds.) MABS 2005. LNCS (LNAI), vol. 3891, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Sultanik, E.A., Peysakhov, M.D., Regli, W.C.: Agent transport simulation for dynamic peer-to-peer networks. In: Sichman, J.S., Antunes, L. (eds.) MABS 2005. LNCS (LNAI), vol. 3891, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Edmonds, B.: Against the inappropriate use of numerical representation in social simulation. Technical Report 04-131, Centre for Policy Modelling (2004), available at http://cfpm.org/cpmrep129.html

  15. Edmonds, B.: Assessing the safety of (numerical) representation in social simulation. In: Proceedings of the 3rd European Social Simulation Association conference (ESSA 2005), Koblenz, Germany (2005)

    Google Scholar 

  16. Academy of Management Review: Information for contributors. Academy of Management Review 30, 230 (2005)

    Google Scholar 

  17. Academy of Management Journal: Information for contributors. Academy of Management Journal 48, 179 (2005)

    Google Scholar 

  18. Strategic Management Journal website (2005), http://www3.interscience.wiley.com/cgi-bin/jabout/2144/ProductInformation.html

  19. Administrative Science Quarterly website (2005), http://www.johnson.cornell.edu/publications/asq/contributors.html

  20. Management Science website (2005), http://mansci.pubs.informs.org/amission.html

  21. Hackman, J., Wageman, R.: A theory of team coaching. Academy of Management Review 30, 269–287 (2005)

    Article  Google Scholar 

  22. Wageman, R.: How leaders foster self-managing team effectiveness: Design choices versus hands-on coaching. Organization Science 12, 559–577 (2001)

    Google Scholar 

  23. Cronbach, L.: Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–333 (1951)

    Article  MATH  Google Scholar 

  24. Cohen, S.G., Ledford Jr., G.E., Spreitzer, G.M.: A predictive model of self-managing work team effectiveness. Human Relations 49, 643–676 (1996)

    Article  Google Scholar 

  25. Milton, L., Westphal, J.: Identity confirmation networks and cooperation in workgroups. Academy of Management Journal 48, 191–212 (2005)

    Article  Google Scholar 

  26. Edwards, J.R.: The study of congruence in organizational behavior research: Critique and a proposed alternative. Organizational Behavior and Human Decision Processes 58, 51–100 (1994)

    Article  Google Scholar 

  27. Edwards, J.R.: Alternative to difference scores: Polynomial regression analysis and response surface methodology. In: Drasgow, F., Schmitt, N. (eds.) Measuring and Analysing Behavior in Organizations: Advances in Measurement and Data Analysis, pp. 350–400. Jossey-Bass ( (2002)

    Google Scholar 

  28. Cohen, P.R.: Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach. Pitman, London (1985)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Moss, S., Norling, E. (2006). Multi-Agent-Based Simulation: Why Bother?. In: Sichman, J.S., Antunes, L. (eds) Multi-Agent-Based Simulation VI. MABS 2005. Lecture Notes in Computer Science(), vol 3891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734680_1

Download citation

  • DOI: https://doi.org/10.1007/11734680_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33380-7

  • Online ISBN: 978-3-540-33381-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics