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from Part III - Understanding Art Through Dynamic Models
Published online by Cambridge University Press: 20 March 2025
Chapter 13 presents a dynamic model of the emergence of artistic excellence and the nonlinear trajectory of artistic careers. The model is based on the interaction-dominant dynamics of a neutral generative network, with positive and negative feedback loops. The model generates time-series descriptions of idiosyncratic (person-specific) careers. The distributions of these simulated careers follow asymmetric, power-law distributions, similar to the empirical data. The simulated life course patterns with the empirical data turn out to be qualitatively similar to empirical data on the life courses of French and American artists.
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