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• W3159219867 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." @default.
• W3159219867 created "2021-05-10" @default.
• W3159219867 creator A5020258899 @default.
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• W3159219867 date "2021-04-02" @default.
• W3159219867 modified "2023-09-27" @default.
• W3159219867 title "Swift-Hohenberg Model of Liquid Artificial Humans Mimicking Human Graded Reactions" @default.
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• W3159219867 doi "https://doi.org/10.33581/1561-4085-2021-24-1-56-70" @default.
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