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What is Random Processes

Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization
A random process models the progression of a system over time, where the evolution is random rather than deterministic. Random processes are used in a variety of fields including economics, finance, engineering, physics, and biology.
Published in Chapter:
Random Processes and Visual Perception: Stochastic Art
Jean Constant (Hermay.org, USA)
DOI: 10.4018/978-1-4666-8142-2.ch006
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.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Random Processes and Visual Perception: Stochastic Art
A random process models the progression of a system over time, where the evolution is random rather than deterministic. Random processes are used in a variety of fields including economics, finance, engineering, physics, and biology.
Full Text Chapter Download: US $37.50 Add to Cart
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