Biologically-inspired Computing for the Arts Scientific Data Through Graphics

Biologically-inspired Computing for the Arts: Scientific Data Through Graphics by Anna Ursyn is a comprehensive reference published by Information Science Reference in 2012. This 417-page book explores the intersection of biology, engineering, and material sciences, highlighting the growing collaboration among academia, laboratories, and industry. It presents a collection of individual approaches that examine the relationship between nature, science, and art through the use of computers.
Readers will find discussions on the use of visual language to communicate biologically-inspired scientific data, as well as the importance of visual literacy in science. The book addresses themes relevant to art, computers, and artificial intelligence, making it a valuable resource for programmers, scientists, engineers, and students in science-oriented fields. This edition serves as a guide for effectively creating and communicating projects that integrate scientific knowledge with artistic expression.
Official synopsis Publisher
Images support connections between biology, engineering, and material sciences resulting in a growing partnership among academia, laboratories, and industry. Scientists focus on biology-inspired research to understand how biological systems work, and then create systems and materials that would have efficiency and precision of living structures. The Art-Science connection has become one of prominent trends exemplified by themes presented in journals, conferences, and books. Biologically-Inspired Computing for the Arts: Scientific Data through Graphics comprises a collection of authors’ individual approaches to the relationship between nature, science, and art created with the use of computers. Themes discussed in the book relate to the use of visual language in communication about biologically-inspired scientific data, visual literacy in science, and application of practitioner’s approach. This comprehensive reference will assist programmers, scientists, engineers, computer science and science-oriented students in creating and effectively communicating their projects using science-related knowledge.
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