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The Complexity of Collective Decision

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Nonlinear Dynamics, Psychology, and Life Sciences

Abstract

This paper is about the dynamics of collective decision when an individual adapts his rational decision to the others'. We consider an organization of heterogeneous agents, in which each agent faces the binary decision problem. The standard way of modeling a collective decision is to assume everyone has the same value or payoff structure. This paper considers collective decision of agents with heterogeneous payoffs. We obtain and classify rational decision rules of heterogeneous agents into a few categories depending on their idiosyncratic payoff structure. We also obtain the micro–macro dynamics that relate the aggregate collective decision with the underlying individual decisions. We investigate the roles of particular types of agents such as hardcore, conformists, and nonconformists. We show that agents' rational behavior combined with the others produce stable orders, and sometimes complex cyclic behavior.

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REFERENCES

  • Axelrod, R. (1997). The complexity of cooperation. Princeton, NJ: Princeton Univ. Press.

    Google Scholar 

  • Bakhchandani S., Hirshleifer D., & Welch I. (1992). A theory of fad, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100>/Emphasis>992–1026.

    Google Scholar 

  • Devaney, R. (1989). Anintroduction to chaotic dynamic systems. Reading, MA: Addison-Wesley Publishing.

    Google Scholar 

  • Fudenberg D., & Levine D. (1998). The theory of learning in games. Cambridge, MA: MIT Press.

    Google Scholar 

  • Fudenberg, D., & Tivole, J. (1991). Game theory. Cambridge, MA: MIT Press.

    Google Scholar 

  • Granovetter, M. (1978). Threshold models of collective behavior. American Journal of Sociology, 183>/Emphasis>1420–1433.

    Google Scholar 

  • Hansarnyi, J., & Selten, R. (1988). A game theory of equilibrium selection in games. Cambridge, MA: MIT Press.

    Google Scholar 

  • Holland, G. (1995). Hidden order. Reading, MA: Addison-Wisely Publishing.

    Google Scholar 

  • Huberman, B., & Glance, N. (1993). Diversity and collective Action. In H. Haken & A. Mikhailov (Eds.), Interdisciplinary Approaches to Nonlinear Systems (pp. 44–64). New York: Springer.

    Google Scholar 

  • Iwanaga, S., & Namatame, A. (1999, November). Evolutionary Properties of Collective Decision. The Third A-J Joint Workshop on Intelligent and Evolutionary Systems, 175-182, Canberra.

  • Kaniovski, Y., Kryazhimskii, A., & Young, H. (2000). Adaptive dynamics in games played by heterogeneous populations. Games and Economics Behavior, 31>/Emphasis>50–96.

    Google Scholar 

  • Paul, D. (1985). Clio and economics of QWERTY. American Economic Review, 75>/Emphasis>332–337.

    Google Scholar 

  • Schelling, T. (1978). Micromotives and macrobehavior. Toronto: W.W. Norton & Co.

    Google Scholar 

  • Weibull, J. (1996). Evolutionary Game Theory. Cambridge, MA: MIT Press.

    Google Scholar 

Download references

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Correspondence to Akira Namatame.

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Iwanaga, S., Namatame, A. The Complexity of Collective Decision. Nonlinear Dynamics Psychol Life Sci 6, 137–158 (2002). https://doi.org/10.1023/A:1014010227748

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  • DOI: https://doi.org/10.1023/A:1014010227748

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