Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/283354
Title: | Swift-Hohenberg Model of Liquid Artificial Humans Mimicking Human Graded Reactions |
Authors: | Frank, T. D. Pereira, A. |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика |
Issue Date: | 2021 |
Publisher: | Minsk : Education and Upbringing |
Citation: | Nonlinear Phenomena in Complex Systems. - 2021. - Vol. 24. - № 1. - P. 56-70 |
Abstract: | Humans and liquid systems have in common that they are both complex, self-organizing systems that produce under certain circumstances spatio-temporal patterns. The current study exploits this cross-disciplinary point of view and studies human graded reactions in terms of continuous confidence ratings from a pattern formation perspective. The wellknown V-shaped ratings are modelled by means of amplitude equations that are generic for a plenitude of pattern formation systems. Experimental data from three independent research groups are shown to fit simple, two-parametric amplitude equation models with goodness of fit measures of 90 percent. Importantly, the Swift-Hohenberg model describing the emergence of roll patterns in liquids is solved to show that under appropriate conditions the amplitudes of emerging roll patterns produce the same type of V-shaped functions as observed in humans. A new research avenue is opened for liquid artificial humans in terms of liquid systems that mimic human reactions. |
URI: | https://elib.bsu.by/handle/123456789/283354 |
ISSN: | 1561-4085 |
DOI: | 10.33581/1561-4085-2021-24-1-56-70 |
Licence: | info:eu-repo/semantics/openAccess |
Appears in Collections: | 2021. Volume 24. Number 1 |
Files in This Item:
File | Description | Size | Format | |
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v24no1p56.pdf | 1,1 MB | Adobe PDF | View/Open |
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