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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

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