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An Agent-Based Simulation of Heterogeneous Games and Social Systems in Politics, Fertility and Economic Development

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Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2016)

Abstract

This paper studies both the macro and micro level, as well as the linkage between the two, to answer the question of how economic, political, and demographic factors impact a country’s development trajectory. Combining system dynamics, agent-based modeling, and evolutionary games in a complex adaptive system, I formalize a simulation framework of Politics of Fertility and Economic Development (POFED) to understand the relationship between those factors over time. I validate the original system dynamics model with updated data and measure, fuse the endogenous attributes with non-cooperative game theory in an agent-based framework, and simulate the heterogeneous interactions between individuals. This paper demonstrates the linkage between macro environment and micro behavior. Simulations of real world scenarios show network emergence under different environments. The results suggest policy implications for societies at different stages of development.

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References

  1. Abdollahian, M., Kugler, J., Nicholson, B., Oh, H.: Politics and power. In: Kott, A., Citrebaum, G. (eds.) Estimating Impact: A Handbook of Computational Methods and Models for Anticipating Economic, Social, Political and Security Effects, pp. 43–90. Springer, New York (2010)

    Chapter  Google Scholar 

  2. Abdollahian, M., Yang, Z., Coan, T., Yesilada, B.: Human development dynamics: an agent-based simulation of macro social systems and individual heterogeneous evolutionary games. Complex Adapt. Syst. Model. 1(1), 1–17 (2013)

    Article  Google Scholar 

  3. Abdollahian, M., Yang, Z., Neal, P.: Human development dynamics: an agent based simulation of adaptive heterogeneous games and social systems. In: Kennedy, W.G., Agarwal, N., Yang, S.J. (eds.) SBP 2014. LNCS, vol. 8393, pp. 3–10. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  4. Arbetman, M., Kugler, J.: Political Capacity And Economic Behavior. Westview, Boulder (1997)

    Google Scholar 

  5. Axelrod, R.: The Evolution Of Strategies In The Iterated Prisoner’s Dilemma. In: Davis, L. (ed.) Genetic Algorithms and Simulated Annealing, pp. 32–41. Morgan Kaufman, Los Altos (1987)

    Google Scholar 

  6. Axelrod, R.: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton (1997)

    Google Scholar 

  7. Buchanan, M.: Economics: meltdown modeling. Nature 460(7256), 680–682 (2009)

    Article  Google Scholar 

  8. Chen, B., Feng, Y.: Some political determinants of economic growth: theory and empirical implications. Euro. J. Politi. Econ. 12(4), 609–627 (1996)

    Article  Google Scholar 

  9. Chen, B., Feng, Y.: Determinants Of economic growth in China: private enterprise, education and Openness. China Econ. Rev. 11(1), 1–15 (2000)

    Article  Google Scholar 

  10. Dixit, A., Skeath, S.: Games of Strategies. Norton & Company, New York (2009)

    Google Scholar 

  11. Farmer, J.D., Foley, D.: The economy needs agent-based modeling. Nature 460(7256), 685–686 (2009)

    Article  Google Scholar 

  12. Feng, Y., Kugler, J., Swaminathan, S., Zak, P.J.: Path to prosperity: the dynamics of freedom and economic development. Inter. Interact. 34(4), 423–441 (2007)

    Article  Google Scholar 

  13. Feng, Y., Kugler, J., Zak, P.J.: The politics of fertility and economic development. Inter. Stud. Q. 44(4), 667–693 (2000)

    Article  Google Scholar 

  14. Fisunoglu, F.A.: Beyond the Phoenix Factor: Consequences of Major Wars and Determinants of Postwar Recovery. Claremont Graduate University (2014)

    Google Scholar 

  15. Kauffman, S.A.: The Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press, Oxford (1993)

    Google Scholar 

  16. Kugler, J., Tammen, R.L.: The Performance of Nations. Rowman & Littlefield, New York (2012)

    Google Scholar 

  17. Lempert, R.J.: A new decision sciences for complex systems. Proc. Natl. Acad. Sci. 99, 7309–7313 (2002). suppl.3

    Article  Google Scholar 

  18. McPherson, M., Smith-Lovin, L., Cook, M.: Birds of a feather: homophily in social networks. Ann. Rev. Sociol. 27, 415–444 (2001)

    Article  Google Scholar 

  19. Moyano, L.G., Sanchez, A.: Spatial Prisoner’s Dilemma with Heterogeneous Agents. Elsevier Manuscript, New York (2013)

    Google Scholar 

  20. Nowak, M.A., Sigmund, K.A.: Strategy of win-stay, lose-shift that outperforms tit-for-tat in the prisoner’s dilemma game. Nature 364, 56–58 (1993)

    Article  Google Scholar 

  21. Nowak, M.A., Sigmund, K.A.: Evolution of indirect reciprocity by image scoring. Nature 393, 573–577 (1998)

    Article  Google Scholar 

  22. Siero, F.W., Doosje, B.J.: Attitude change following persuasive communication: integrating social judgment theory and the elaboration likelihood model. J. Soc. Psychol. 23, 541–554 (1993)

    Google Scholar 

  23. Sigmund, K.: Games of Life. Oxford University Press, Oxford (1993)

    Google Scholar 

  24. Snijders, T.A., Steglich, C.E., Schweinberger, M.: Modeling the co-evolution of networks and behavior. In: Longitudinal Models the Behavioral and Related Sciences, pp. 41–71 (2007)

    Google Scholar 

  25. Wilensky, U.: NetLogo, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston (1999). http://ccl.northwestern.edu/netlogo/

  26. World Bank: The World Development Indicators. Washington, DC (2014)

    Google Scholar 

  27. Zheleva, E., Sharara, H., Getoor, L.: Co-evolution of social and affiliation networks. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, New York (2009)

    Google Scholar 

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Correspondence to Zining Yang .

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Yang, Z. (2016). An Agent-Based Simulation of Heterogeneous Games and Social Systems in Politics, Fertility and Economic Development. In: Xu, K., Reitter, D., Lee, D., Osgood, N. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2016. Lecture Notes in Computer Science(), vol 9708. Springer, Cham. https://doi.org/10.1007/978-3-319-39931-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-39931-7_8

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