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- W4313302919 abstract "Abstract 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, xi(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 toward assimilation or fragmentation, and (iii) We show that a developed two-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." @default.
- W4313302919 created "2023-01-06" @default.
- W4313302919 creator A5069624188 @default.
- W4313302919 date "2023-01-11" @default.
- W4313302919 modified "2023-09-27" @default.
- W4313302919 title "Nonlinear Agent-Based Dynamics: Which Metric Mitigates Polarization?" @default.
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- W4313302919 doi "https://doi.org/10.1115/1.4056481" @default.
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