IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

A Common Protocol for Agent-Based Social Simulation

Traditional (i.e. analytical) modelling practices in the social sciences rely on a very well established, although implicit, methodological protocol, both with respect to the way models are presented and to the kinds of analysis that are performed. Unfortunately, computer-simulated models often lack such a reference to an accepted methodological standard. This is one of the main reasons for the scepticism among mainstream social scientists that results in low acceptance of papers with agent-based methodology in the top journals. We identify some methodological pitfalls that, according to us, are common in papers employing agent-based simulations, and propose appropriate solutions. We discuss each issue with reference to a general characterization of dynamic micro models, which encompasses both analytical and simulation models. In the way, we also clarify some confusing terminology. We then propose a three-stage process that could lead to the establishment of methodological standards in social and economic simulations.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://jasss.soc.surrey.ac.uk/9/1/15/15.pdf
Download Restriction: no

Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 9 (2006)
Issue (Month): 1 ()
Pages: 15-15

as
in new window

Handle: RePEc:jas:jasssj:2005-86-1
Contact details of provider:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Freeman, Richard B., 1998. "War of the models: Which labour market institutions for the 21st century?1," Labour Economics, Elsevier, vol. 5(1), pages 1-24, March.
  2. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
  3. Gerard Weisbuch & Alan Kirman & Dorothea Herreiner, 1995. "Market Organization," Working Papers 95-11-102, Santa Fe Institute.
  4. Tesfatsion, Leigh S., 2001. "Introduction to the Special Issue on Agent-Based Computational Economics," Staff General Research Papers Archive 1915, Iowa State University, Department of Economics.
  5. Tullock, Gordon & Campbell, Colin D, 1970. "Computer Simulation of a Small Voting System," Economic Journal, Royal Economic Society, vol. 80(317), pages 97-104, March.
  6. Joachim Merz, 1994. "Microsimulation - A Survey of Methods and Applications for Analyzing Economic and Social Policy," FFB-Discussionpaper 09, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University L√ľneburg.
  7. Rust, John & Miller, John H. & Palmer, Richard, 1994. "Characterizing effective trading strategies : Insights from a computerized double auction tournament," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 61-96, January.
  8. Attanasio, Orazio P & Weber, Guglielmo, 1994. "The UK Consumption Boom of the Late 1980s: Aggregate Implications of Microeconomic Evidence," Economic Journal, Royal Economic Society, vol. 104(427), pages 1269-1302, November.
  9. Pantelis Kalaitzidakis & Theofanis P Mamuneas & Thanasis Stengos, 2001. "Rankings of Academic Journals and Institutions in Economics," Discussion Papers in Economics 01/8, Department of Economics, University of Leicester.
  10. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
  11. Werker, C. & Brenner, T., 2004. "Empirical calibration of simulation models," Working Papers 04.13, Eindhoven Center for Innovation Studies.
  12. W. Brian Arthur, 1994. "Inductive Reasoning, Bounded Rationality and the Bar Problem," Working Papers 94-03-014, Santa Fe Institute.
  13. Finn E. Kydland & Edward C. Prescott, 1994. "The computational experiment: an econometric tool," Staff Report 178, Federal Reserve Bank of Minneapolis.
  14. Weisbuch, Gerard & Kirman, Alan & Herreiner, Dorothea, 2000. "Market Organisation and Trading Relationships," Economic Journal, Royal Economic Society, vol. 110(463), pages 411-36, April.
  15. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Research Memorandum FEW 706, Tilburg University, School of Economics and Management.
  16. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
  17. Leigh Tesfatsion, 2000. "Agent-Based Computational Economics: A Brief Guide to the Literature," Computational Economics 0004001, EconWPA.
  18. Roberto Leombruni, 2002. "The Methodological Status of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 19, LABORatorio R. Revelli, Centre for Employment Studies.
  19. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
  20. Orazio P. Attanasio & Guglielmo Weber, 1993. "Consumption Growth, the Interest Rate and Aggregation," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 631-649.
  21. Lars Peter Hansen & James J. Heckman, 1996. "The Empirical Foundations of Calibration," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 87-104, Winter.
  22. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, March.
  23. Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-541, June.
  24. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  25. Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
  26. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, October.
  27. Kalaitzidakis, P. & Mamuneas, T.P. & Stengos, T., 2003. "Rankings of Academic Journals and Institutions," Working Papers 2003-8, University of Guelph, Department of Economics and Finance.
  28. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Discussion Paper 1995-4, Tilburg University, Center for Economic Research.
  29. Nelson Minar & Rogert Burkhart & Chris Langton & Manor Askenazi, 1996. "The Swarm Simulation System: A Toolkit for Building Multi-Agent Simulations," Working Papers 96-06-042, Santa Fe Institute.
  30. Gourieroux, Christian & Monfort, Alain, 1997. "Simulation-based Econometric Methods," OUP Catalogue, Oxford University Press, number 9780198774754, December.
  31. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2005-86-1. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Flaminio Squazzoni)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.