Abstract
Multi-agent based simulation (MABS) is increasingly used for social science studies. However, few methodologies and tools exist. A strong issue is the choice of the number of simulation runs and the validation of the results by statistical methods. In this article, we propose a model of tool which automatically generates and runs new simulations until the results are statistically valid using a chi-square test. The choice of the test configuration allows both a general overview of the variable links and a more specific independence analysis. We present a generic tool for any RePast-based simulation and apply it on an Academic Labor Market economic simulation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Axelrod, R.: Advancing the art of simulation in the social sciences. Advances in Complex Systems 7(1), 77–92 (2004)
Tesfatsion, L.S.: A constructive approach to economic theory. In: Handbook of Computational Economics. Agent-Based Computational Economics of Handbooks in Economic Series, vol. 2. North-Holland (2006)
Heath, B., Hill, R., Ciarallo, F.: A survey of agent-based modeling practices (January 1998 to July 2008). Journal of Artificial Societies and Social Simulation 12(4), 9 (2009)
North, M.J., Collier, N.T., Vos, J.R.: Experiences creating three implementations of the repast agent modeling toolkit. ACM Transactions on Modeling and Computer Simulation 16(1), 1–25 (2006)
Caillou, P., Sebag, M.: Modelling a Centralized Academic Labour Market: Efficiency and Fairness. In: ECCS 2008. Complex Systems Society, Jerusalem Israel (2008)
Caillou, P., Sebag, M.: Pride and Prejudice on a Centralized Academic Labor Market. In: Artificial Economics 2009. LNEMS, pp. 29–40. Springer, Valladolid Espagne (2009)
Phan, D., Amblard, F.: Multi-agent Modelling and Simulation in the Social and Human Sciences. Bardwell Press (2007), http://www.bardwell-press.co.uk/
Wilensky, U.: http://ccl.northwestern.edu/netlogo/
Phan, D.: From agent-based computational economics towards cognitive economics. In: Cognitive Economics. Handbook of Computational Economics, pp. 371–398. Springer, Heidelberg (2004)
Railsback, S.F., Lytinen, S.L., Jackson, S.K.: Agent-based simulation platforms: Review and development recommendations. Simulation 82(9), 609–623 (2006)
Kubera, Y., Mathieu, P., Picault, S.: Interaction-oriented agent simulations: From theory to implementation. In: Ghallab, M., Spyropoulos, C., Fakotakis, N., Avouris, N. (eds.) Proceedings of the 18th European Conference on Artificial Intelligence (ECAI 2008), pp. 383–387. IOS Press (2008)
Gaillard, F., Kubera, Y., Mathieu, P., Picault, S.: A Reverse Engineering form for Multi Agent Systems. In: Artikis, A., Picard, G., Vercouter, L. (eds.) ESAW 2008. LNCS, vol. 5485, pp. 137–153. Springer, Heidelberg (2009)
Soldatova, L., Clare, A., Sparkes, A., King, R.D.: An ontology for a robot scientist. Bioinformatics 22, 464–471 (2006); ISMB 2006
Amblard, F., Hill, D.R.C., Bernard, S., Truffot, J., Deffuant, G.: http://www.simexplorer.org/
Windrum, P., Fagiolo, G., Moneta, A.: Empirical validation of agent-based models: Alternatives and prospects. Journal of Artificial Societies and Social Simulation 10 (2007)
Moss, S.: Alternative approaches to the empirical validation of agent-based models. Journal of Artificial Societies and Social Simulation 11 (2007)
Wonnacott, T.H., Wonnacott, R.J.: Introductory statistics, 5th edn. Wiley, New York (1990)
Greenwood, P.E., Nikulin, M.S.: A Guide to Chi-Squared Testing. Wiley, New York (1996)
Cochran, W.G.: Some methods for strengthening the common chi-square tests. Biometrics (10), 10–417 (1954)
Baiou, M., Balinski, M.: Student admissions and faculty recruitment. Theor. Comput. Sci. 322(2), 245–265 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Caillou, P. (2012). Automated Multi-agent Simulation Generation and Validation. In: Desai, N., Liu, A., Winikoff, M. (eds) Principles and Practice of Multi-Agent Systems. PRIMA 2010. Lecture Notes in Computer Science(), vol 7057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25920-3_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-25920-3_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25919-7
Online ISBN: 978-3-642-25920-3
eBook Packages: Computer ScienceComputer Science (R0)