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Interacting Agents and Continuous Opinions Dynamics

Author

Listed:
  • Gérard Weisbuch
  • Guillaume Deffuant
  • Frederic Amblard
  • Jean Pierre Nadal

Abstract

We present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encoun ters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, whereas low thresholds result in several opinion clusters. The model is further generalized to network interactions, threshold heterogeneity, adaptive thresholds and binary strings of opinions.

Suggested Citation

  • Gérard Weisbuch & Guillaume Deffuant & Frederic Amblard & Jean Pierre Nadal, 2001. "Interacting Agents and Continuous Opinions Dynamics," Working Papers 01-11-072, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:01-11-072
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    References listed on IDEAS

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    1. Cohen, Joel E. & Hajnal, John & Newman, Charles M., 1986. "Approaching consensus can be delicate when positions harden," Stochastic Processes and their Applications, Elsevier, vol. 22(2), pages 315-322, July.
    2. Follmer, Hans, 1974. "Random economies with many interacting agents," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 51-62, March.
    3. Orlean, Andre, 1995. "Bayesian interactions and collective dynamics of opinion: Herd behavior and mimetic contagion," Journal of Economic Behavior & Organization, Elsevier, vol. 28(2), pages 257-274, October.
    4. H. Peyton Young & Mary A. Burke, 2001. "Competition and Custom in Economic Contracts: A Case Study of Illinois Agriculture," American Economic Review, American Economic Association, vol. 91(3), pages 559-573, June.
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    Cited by:

    1. Diemo Urbig & Jan Lorenz & Heiko Herzberg, 2008. "Opinion Dynamics: the Effect of the Number of Peers Met at Once," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-4.
    2. Song, Xiao & Shi, Wen & Ma, Yaofei & Yang, Chen, 2015. "Impact of informal networks on opinion dynamics in hierarchically formal organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 916-924.
    3. Rainer Hegselmann, 2009. "Meinungsbildung in Gruppen: Wie tragfaehig sind vereinfachende Modellierungsansaetze?," Rationality, Markets and Morals, Frankfurt School Verlag, Frankfurt School of Finance & Management, vol. 0(8), November.
    4. Rainer Hegselmann & Ulrich Krause, 2006. "Truth and Cognitive Division of Labour: First Steps Towards a Computer Aided Social Epistemology," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(3), pages 1-10.
    5. Blanco, Iván, 2005. "The silence that precedes hypocrisy: a formal model of the spiral of silence theory," MPRA Paper 45452, University Library of Munich, Germany.
    6. Vilone, Daniele & Carletti, Timoteo & Bagnoli, Franco & Guazzini, Andrea, 2016. "The Peace Mediator effect: Heterogeneous agents can foster consensus in continuous opinion models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 84-91.
    7. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.

    More about this item

    Keywords

    Dynamics; opinions; norms; bounded rationality; economic choices;

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