9780367091385-0367091380-Cellular Automata And Complexity: Collected Papers

Cellular Automata And Complexity: Collected Papers

ISBN-13: 9780367091385
ISBN-10: 0367091380
Edition: 1
Author:
Publication date: 2019
Publisher: CRC Press
Format: Hardcover 604 pages
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Book details

ISBN-13: 9780367091385
ISBN-10: 0367091380
Edition: 1
Author:
Publication date: 2019
Publisher: CRC Press
Format: Hardcover 604 pages

Summary

Cellular Automata And Complexity: Collected Papers (ISBN-13: 9780367091385 and ISBN-10: 0367091380), written by authors , was published by CRC Press in 2019. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Cellular Automata And Complexity: Collected Papers (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Are mathematical equations the best way to model nature? For many years it had been assumed that they were. But in the early 1980s, Stephen Wolfram made the radical proposal that one should instead build models that are based directly on simple computer programs. Wolfram made a detailed study of a class of such models known as cellular automata, and discovered a remarkable fact: that even when the underlying rules are very simple, the behavior they produce can be highly complex, and can mimic many features of what we see in nature. And based on this result, Wolfram began a program of research to develop what he called ?A Science of Complexity.?The results of Wolfram's work found many applications, from the so-called Wolfram Classification central to fields such as artificial life, to new ideas about cryptography and fluid dynamics. This book is a collection of Wolfram's original papers on cellular automata and complexity. Some of these papers are widely known in the scientific community; others have never been published before. Together, the papers provide a highly readable account of what has become a major new field of science, with important implications for physics, biology, economics, computer science and many other areas.

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