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.
| Author of HS Reutlingen | Herzog, 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 |
