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Emergência de convenções sociais - Uma análise a partir da simulação de interações descentralizadas caracterizadas pela disposição a imitação de comportamento

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  • Aggio, Gustavo de Oliveira

Abstract

There was considered that social conventions existence is relevant for the individual economic behavior, there has been necessary explain the both its origins and process of formation. Specifically, we study situations where both the presence of multiple equilibria and the possibility of irreversibility of a take decision matters. Then we choose deep the traditions of pathdepended decentralized evolutionary processes studies. We applied the hypothesis that bounded rationality individuals in some degree imitate the predominant observed behavior and we made a computational procedure of simulations. We observed the emergence of unanimity or majority structures and then we applied the observed results to both the emergence theory of money and technological choice theory

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  • Aggio, Gustavo de Oliveira, 2011. "Emergência de convenções sociais - Uma análise a partir da simulação de interações descentralizadas caracterizadas pela disposição a imitação de comportamento," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(1), March.
    • Handle: RePEc:fgv:epgrbe:v:65:y:2011:i:1:a:1360
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    1. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    2. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
    3. Vega-Redondo, Fernando (ed.), 1996. "Evolution, Games, and Economic Behaviour," OUP Catalogue, Oxford University Press, number 9780198774723.
    4. Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
    5. Axelrod, Robert & Tesfatsion, Leigh, 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers Archive 12515, Iowa State University, Department of Economics.
    6. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    7. Rosenberg, Nathan, 1976. "On Technological Expectations," Economic Journal, Royal Economic Society, vol. 86(343), pages 523-535, September.
    8. James Tobin, 1992. "Money (for New Palgrave Money and Finance)," Cowles Foundation Discussion Papers 1013, Cowles Foundation for Research in Economics, Yale University.
    9. H. Peyton Young, 1996. "The Economics of Convention," Journal of Economic Perspectives, American Economic Association, vol. 10(2), pages 105-122, Spring.
    10. Kiyotaki, Nobuhiro & Wright, Randall, 1989. "On Money as a Medium of Exchange," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 927-954, August.
    11. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    12. Hahn, Frank, 1991. "The Next Hundred Years," Economic Journal, Royal Economic Society, vol. 101(404), pages 47-50, January.
    13. Carpenter, Jeffrey P, 2002. "Evolutionary Models of Bargaining: Comparing Agent-Based Computational and Analytical Approaches to Understanding Convention Evolution," Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 25-49, February.
    14. W. Brian Arthur, 1994. "Inductive Reasoning, Bounded Rationality and the Bar Problem," Working Papers 94-03-014, Santa Fe Institute.
    15. Kiyotaki, Nobuhiro & Wright, Randall, 1993. "A Search-Theoretic Approach to Monetary Economics," American Economic Review, American Economic Association, vol. 83(1), pages 63-77, March.
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