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Random Processes and Visual Perception: Stochastic Art

Random Processes and Visual Perception: Stochastic Art
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Author(s): Jean Constant (, USA)
Copyright: 2021
Pages: 15
Source title: Describing Nature Through Visual Data
Source Author(s)/Editor(s): Anna Ursyn (University of Northern Colorado, USA)
DOI: 10.4018/978-1-7998-5753-2.ch002


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The aim of this chapter is to explore a classic stochastic problem using the tools of the graphics environment. Stochastic processes are associated with the concepts of uncertainty or chance. Major areas of research in mathematical and applied sciences, statistics, finance, and artificial intelligence/machine learning benefit from the knowledge gained studying this process. Visual Art also depends on elements of uncertainty and chance. To explore the commonality of concern between Science and Art and better understand stochastic processes, the author organizes his research according to the Knowledge Visualization framework, examines a graph theory reference model called the “shortest route problem,” and, adding additional elements specific to the art-making process, shares his results to highlight the relevance of interdisciplinary studies in the fields of randomness and visual perception.

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