Nonlinear Opinion Dynamics With Tunable Sensitivity

We propose a continuous-time multioption nonlinear generalization of classical linear weighted-average opinion dynamics. Nonlinearity is introduced by saturating opinion exchanges, and this is enough to enable a significantly greater range of opinion-forming behaviors with our model as compared to e...

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Vydáno v:	IEEE transactions on automatic control Ročník 68; číslo 3; s. 1415 - 1430
Hlavní autoři:	Bizyaeva, Anastasia, Franci, Alessio, Leonard, Naomi Ehrich
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers Inc
Témata:	Adaptation models Aerodynamics Agreement Analytical models bifurcation bio-inspired engineering Biological system modeling Computer Science Applications Continous time Control and Systems Engineering deadlock breaking Decision making disagreement Dynamic scheduling Electrical and Electronic Engineering Engineering, computing & technology Generalisation Ingénierie, informatique & technologie Linear weighted averages multi-agent systems network centrality networked control systems nonlinear dynamical systems Nonlinear dynamics Nonlinearity opinion dynamics Politics Robustness Sensitivity State feedback Tunables
ISSN:	0018-9286, 1558-2523
On-line přístup:	Získat plný text
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