Nonlinear Phenomena in Complex Systems, 2021, Vol.24, No.1, pp.56

NONLINEAR PHENOMENA IN COMPLEX SYSTEMS
An Interdisciplinary Journal

2021, Vol.24, No.1, pp.56 - 70

Swift-Hohenberg Model of Liquid Artificial Humans Mimicking Human Graded Reactions

T. D. Frank and A. Pereira

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.

Key words: artificial humans, Swift-Hohenberg model, pattern formation, human graded reactions, confidence, amplitude equations

DOI: https://doi.org/10.33581/1561-4085-2021-24-1-56-70

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