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Nonlinear agent-based dynamics: which metric mitigates polarization?

  • This article provides a stochastic agent-based model to exhibit the role of aggregation metrics in order to mitigate polarization in a complex society. Our sociophysics model is based on interacting and nonlinear Brownian agents, which allow us to study the emergence of collective opinions. The opinion of an agent, x i (t) is a continuous positive value in an interval [0, 1]. We find (i) most agent-metrics display similar outcomes. (ii) The middle-metric and noisy-metric obtain new opinion dynamics either towards assimilation or fragmentation. (iii) We show that a developed 2-stage metric provide new insights about convergence and equilibria. In summary, our simulation demonstrates the power of institutions, which affect the emergence of collective behavior. Consequently, opinion formation in a decentralized complex society is reliant to the individual information processing and rules of collective behavior.

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Metadaten
Author of HS ReutlingenHerzog, Bodo
DOI:https://doi.org/10.1115/1.4056481
ISSN:1555-1415
eISSN:1555-1423
Erschienen in:Journal of computational and nonlinear dynamics
Publisher:ASME
Place of publication:New York, NY
Document Type:Journal article
Language:English
Publication year:2023
Tag:agent-based modelling; bounded confidence model; nonlinear dynamical system; opinion dynamics; sociophyics
Volume:18
Issue:3
Page Number:6
Article Number:034501
DDC classes:004 Informatik
Open access?:Nein