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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
O. Barreteau et al. Our companion modeling approach. Journal of Artificial Societies and Social Simulation 6 (1), 1 (2003)
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)
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)
R.D. Duke, J.L.A. Geurts. Policy Games for Strategic Management. Dutch University Press (2004)
N. Gilbert. Agent-based models. SAGE Publications (2008)
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)
S. Heckbert. Experimental economics and agent-based models. 18th World IMACS/MODSIM Congress, pp. 2997–3003 (2009)
G. Hofstede. Culture’s Consequences, Second Edition. SAGE Publications (2001)
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)
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)
G.J. Hofstede, C.M. Jonker, T. Verwaart. Cultural Differentiation of Negotiating Agents. Group Decision and Negotiation 21 (1), 79–98 (2012)
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)
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)
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)
M.A. Janssen, E. Ostrom. Empirically based, agent-based models. Ecology and Society 11 (2), 37 (2006)
J.H.G. Klabbers. The magic circle: principles of gaming and simulation 2nded. Sense (2008)
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)
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)
S. Meijer. The organization of transactions: Studying supply networks using gaming simulation. Ph.D. thesis. Wageningen Academic Publishers (2009)
S. Moss. Agent based modelling for integrated assessment. Integrated Assessment 3 (1), 63–77 (2002)
S. Moss, B. Edmonds. Sociology and simulation: Statistical and qualitative cross-validation. American Journal of Sociology 110 (4), 1095–1131 (2005)
A. Saltelli, K. Chan, E.M. Scott. Sensitivity Analysis. Wiley (2000)
K.R. Sawyer, C. Beed, H. Sankey. Underdetermination in Economics. The Duhem-Quine Thesis, Economics and Philosophy 13, 1–23 (1997)
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)
K.G. Troitzsch. Validating simulation models. In: G. Horton (ed) Proceedings of the 18th European Simulation Multiconference. SCS, Erlangen (2004)
O.E. Williamson. Transaction cost economics: how it works; where it is headed. De Economist 146 (1), 23–58 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Hofstede, G.J., Jonker, C.M., Verwaart, T. (2014). Cross-Validation of Gaming Simulation and Multi-Agent Simulation. In: Dignum, V., Dignum, F. (eds) Perspectives on Culture and Agent-based Simulations. Studies in the Philosophy of Sociality, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-01952-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-01952-9_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01951-2
Online ISBN: 978-3-319-01952-9
eBook Packages: Humanities, Social Sciences and LawPhilosophy and Religion (R0)