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The dual attitudinal dynamics of public opinion: an agent-based reformulation of L. F. Richardson’s war-moods model

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Listed:
  • Katsuma Mitsutsuji

    (Tokyo University of Science)

  • Susumu Yamakage

    (The University of Tokyo)

Abstract

This study proposes a new model of public opinion dynamics, focused specifically on attitudes toward war. The model consists of citizen-agents who have dual (public and private) attitudes. While they change the two levels of attitude according to different rules of two-layered interactions with neighboring agents, they also change their own attitudes internally. Our model shows that public opinion has “meta-stable” states, which generate overlapping, or two-valued, stable states. This characteristic can explain how public opinion responds to the outbreak and continuation of war very differently, not just in our model, but also in the opinions of European citizens on the First World War and those of American citizens on U.S. wars after the Second World War.

Suggested Citation

  • Katsuma Mitsutsuji & Susumu Yamakage, 2020. "The dual attitudinal dynamics of public opinion: an agent-based reformulation of L. F. Richardson’s war-moods model," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 439-461, April.
  • Handle: RePEc:spr:qualqt:v:54:y:2020:i:2:d:10.1007_s11135-019-00938-x
    DOI: 10.1007/s11135-019-00938-x
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    References listed on IDEAS

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    1. Mueller, John E., 1970. "Presidential Popularity from Truman to Johnson1," American Political Science Review, Cambridge University Press, vol. 64(1), pages 18-34, March.
    2. Tanzhe Tang & Caspar G. Chorus, 2019. "Learning Opinions by Observing Actions: Simulation of Opinion Dynamics Using an Action-Opinion Inference Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(3), pages 1-2.
    3. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    4. Ostrom, Charles W. & Simon, Dennis M., 1985. "Promise and Performance: A Dynamic Model of Presidential Popularity," American Political Science Review, Cambridge University Press, vol. 79(2), pages 334-358, June.
    5. Katarzyna Sznajd-Weron, 2005. "Sznajd model and its applications," HSC Research Reports HSC/05/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    6. Olivier Oullier & J. A. Scott Kelso & Alan P. Kirman, 2008. "Social Neuroeconomics : A dynamical systems perspective," Revue d'économie politique, Dalloz, vol. 118(1), pages 51-62.
    7. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    8. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    9. Guillaume Deffuant & David Neau & Frederic Amblard & Gérard Weisbuch, 2000. "Mixing beliefs among interacting agents," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 3(01n04), pages 87-98.
    10. Chung-Yuan Huang & Tzai-Hung Wen, 2014. "A Novel Private Attitude and Public Opinion Dynamics Model for Simulating Pluralistic Ignorance and Minority Influence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-8.
    11. Haiming Liang & Yucheng Dong & Congcong Li, 2016. "Dynamics of Uncertain Opinion Formation: An Agent-Based Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-1.
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