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Cross-Validation of Gaming Simulation and Multi-Agent Simulation

  • Gert Jan HofstedeEmail author
  • Catholijn M. Jonker
  • Tim Verwaart
Chapter
Part of the Studies in the Philosophy of Sociality book series (SIPS, volume 3)

Abstract

For the study of complex social processes, both gaming simulation and multi-agent simulation have been proposed as research methods. The combination of gaming and multi-agent simulation has proved useful for the formulation of theories underlying trade network processes. However, validation remains a problematic issue in that type of research. Two important sources of difficulties are the sensitivity of gaming simulations to the participants’ cultural background and the complexity of the agent model. The sensitivity to culture may be managed by incorporating it in the agent model. The complexity of the agent model may be managed by compositional process modeling. However, both solutions require additional validation. This chapter proposes a validation approach for a culturally adaptive, composed, process model.

Keywords

Agent Model Cultural Adaptation Partner Selection Trade Network Expert Validation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. O. Barreteau, F. Bousquet, J. Attonaty. Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems. Journal of Artificial Societies and Social Simulation 4 (2), 5 (2001)Google Scholar
  2. O. Barreteau et al. Our companion modeling approach. Journal of Artificial Societies and Social Simulation 6 (1), 1 (2003)Google Scholar
  3. R. Boero, F. Squazzoni. Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science. Journal of Artificial Societies and Social Simulation 8 (4), 6 (2005)Google Scholar
  4. S.L.G.E. Burgers, G.J. Hofstede, C.M. Jonker, T. Verwaart. Sensitivity Analysis of an Agent-Based Model of Culture’s Consequences for Trade. In: M. Li Calzi et al. (eds.) Progress in Artificial Economics, Lecture Notes in Economics and Mathematical Systems 645, pp. 253–264. Springer (2010)Google Scholar
  5. R.D. Duke, J.L.A. Geurts. Policy Games for Strategic Management. Dutch University Press (2004)Google Scholar
  6. N. Gilbert. Agent-based models. SAGE Publications (2008)Google Scholar
  7. P. Guyot, A. Drogoul, S. Honiden. Multi-Agent Participatory Simulations Between Experimental economics and Role-Plaing Games. In: T. Terano et al. (eds) Agent-Based Approaches in Economic and Social Complex Systems IV. Springer (2007)Google Scholar
  8. S. Heckbert. Experimental economics and agent-based models. 18th World IMACS/MODSIM Congress, pp. 2997–3003 (2009)Google Scholar
  9. G. Hofstede. Culture’s Consequences, Second Edition. SAGE Publications (2001)Google Scholar
  10. G.J. Hofstede, T. Verwaart, C.M. Jonker. Lemon car game. In: E. Bagdonas et al. (eds.) GAMES: virtual worlds and reality; Selected papers of ISAGA 2008. Kaunas University of Technology (2009)Google Scholar
  11. G.J. Hofstede, C.M. Jonker, T. Verwaart. Simulation of Effects of Culture on Trade Partner Selection. In: C. Hernández et al. (eds) Artificial Economics: The Generative Method in Economics, pp. 257–268. Springer (2009)Google Scholar
  12. G.J. Hofstede, C.M. Jonker, T. Verwaart. Cultural Differentiation of Negotiating Agents. Group Decision and Negotiation 21 (1), 79–98 (2012)CrossRefGoogle Scholar
  13. G.J. Hofstede, C.M. Jonker, T. Verwaart. A Cross-cultural Multi-agent Model of Opportunism in Trade. In: N.T. Nguyen, R. Kowalczyk (eds.) Transactions on Computational Collective Intelligence II, LNCS 6450, pp. 24–45. Springer (2010)Google Scholar
  14. G.J. Hofstede, C.M. Jonker, T. Verwaart. Computational modeling of culture’s consequences. In: T. Bosse et al. (eds.): MABS 2010, LNAI 6532, pp. 136–151. Springer (2011)Google Scholar
  15. M.J.W. Jansen, W.A.H. Rossing, R.A. Damen. Monte Carlo estimation of uncertainty contributions from several independent multivariate sources. In: J. Grasman, G. van Straten (eds.) Predictability and Nonlinear Modelling in Natural Sciences and Economics. Kluwer (1994)Google Scholar
  16. M.A. Janssen, E. Ostrom. Empirically based, agent-based models. Ecology and Society 11 (2), 37 (2006)Google Scholar
  17. J.H.G. Klabbers. The magic circle: principles of gaming and simulation 2nded. Sense (2008)Google Scholar
  18. S.A. Meijer, G.J. Hofstede, G. Beers, S.W.F. Omta. Trust And Tracing game: learning about transactions and embeddedness in the trade network. Journal of Production Planning and Control 17 (6), 569–583 (2006)CrossRefGoogle Scholar
  19. S.A. Meijer, G.J. Hofstede, G. Beers, S.W.F. Omta. The organization of transactions: research with the Trust And Tracing Game. Journal on Chain and Network Science. 8 (1), 1–20 (2008)CrossRefGoogle Scholar
  20. S. Meijer. The organization of transactions: Studying supply networks using gaming simulation. Ph.D. thesis. Wageningen Academic Publishers (2009)Google Scholar
  21. S. Moss. Agent based modelling for integrated assessment. Integrated Assessment 3 (1), 63–77 (2002)CrossRefGoogle Scholar
  22. S. Moss, B. Edmonds. Sociology and simulation: Statistical and qualitative cross-validation. American Journal of Sociology 110 (4), 1095–1131 (2005)CrossRefGoogle Scholar
  23. A. Saltelli, K. Chan, E.M. Scott. Sensitivity Analysis. Wiley (2000)Google Scholar
  24. K.R. Sawyer, C. Beed, H. Sankey. Underdetermination in Economics. The Duhem-Quine Thesis, Economics and Philosophy 13, 1–23 (1997)Google Scholar
  25. K. Takadama, T. Kawai, Y. Koyama. Micro- and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game. Journal of Artificial Societies and Social Simulation 11 (2), 9 (2008)Google Scholar
  26. K.G. Troitzsch. Validating simulation models. In: G. Horton (ed) Proceedings of the 18th European Simulation Multiconference. SCS, Erlangen (2004)Google Scholar
  27. O.E. Williamson. Transaction cost economics: how it works; where it is headed. De Economist 146 (1), 23–58 (1998)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Gert Jan Hofstede
    • 1
    Email author
  • Catholijn M. Jonker
    • 2
  • Tim Verwaart
    • 3
  1. 1.Wageningen UniversityWageningenThe Netherlands
  2. 2.Delft University of TechnologyDelftThe Netherlands
  3. 3.LEI Wageningen URDen HaagThe Netherlands

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