TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Herzog, Bodo
T1  - Nonlinear agent-based dynamics: which metric mitigates polarization?
JF  - Journal of computational and nonlinear dynamics
N2  - 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.
KW  - bounded confidence model
KW  - opinion dynamics
KW  - sociophyics
KW  - agent-based modelling
KW  - nonlinear dynamical system
Y1  - 2023
SN  - 1555-1415
SS  - 1555-1415
U6  - https://doi.org/10.1115/1.4056481
DO  - https://doi.org/10.1115/1.4056481
VL  - 18
IS  - 3
SP  - 6
S1  - 6
PB  - ASME
CY  - New York, NY
ER  -