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Opinion dynamics in multi-agent systems: selected analytic models and verifying simulations

Author

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  • Stefania Monica

    (Università degli Studi di Parma)

  • Federico Bergenti

    (Università degli Studi di Parma)

Abstract

In this paper opinion dynamics in multi-agent systems is investigated analytically using a kinetic approach. Interactions among agents are interpreted as collisions among molecules in gases and opinion dynamics is described according to the Boltzmann equation. Starting from a microscopic description of single interactions, global properties of the opinion distribution are derived analytically. The proposed analytic model is general enough to allow reproducing features of real societies of agents, such as positive and negative influences and bounded confidence, which are typically used to study opinion distribution models. Analytic results relative to emergent and global characteristics of considered multi-agent systems are verified by simulations obtained via direct implementation of the proposed microscopic interactions rules. Simulations confirm analytic results.

Suggested Citation

  • Stefania Monica & Federico Bergenti, 2017. "Opinion dynamics in multi-agent systems: selected analytic models and verifying simulations," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 423-450, September.
    • Handle: RePEc:spr:comaot:v:23:y:2017:i:3:d:10.1007_s10588-016-9235-z
    DOI: 10.1007/s10588-016-9235-z
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    References listed on IDEAS

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    1. 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.
    2. Federico Bergenti & Enrico Franchi & Agostino Poggi, 2013. "Agent-based interpretations of classic network models," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 105-127, June.
    3. Pareschi, Lorenzo & Toscani, Giuseppe, 2013. "Interacting Multiagent Systems: Kinetic equations and Monte Carlo methods," OUP Catalogue, Oxford University Press, number 9780199655465.
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