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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 (Hermay.org, USA)
Copyright: 2015
Pages: 13
Source title: Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization
Source Author(s)/Editor(s): Anna Ursyn (University of Northern Colorado, USA)
DOI: 10.4018/978-1-4666-8142-2.ch006

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Abstract

The objective of this chapter is to help solve a classic stochastic problem using tools of the graphic environment. Stochastic processes are associated with the concepts of uncertainty or chance. They are a major focus of studies in various scientific disciplines such as mathematics, statistics, finance, artificial intelligence/machine learning, and philosophy. Visual Arts also depend on elements of uncertainly and chance. To explore the commonality of concern between Science and Art and better understand stochastic processes, the authors use a graph theory reference model called the “shortest route problem” and add additional elements specific to the art-making process to highlight the relevance of interdisciplinary studies in the field of randomness and visual perception.

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