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Artificial Chemistries, Banzhaf Wolfgang, Yamamoto Lidia


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Автор: Banzhaf Wolfgang, Yamamoto Lidia
Название:  Artificial Chemistries
Перевод названия: Вольфганг Банзаф: Искусственные химические соединения
ISBN: 9780262029438
Издательство: MIT Press
Классификация:



ISBN-10: 026202943X
Обложка/Формат: Hardback
Страницы: 576
Вес: 1.48 кг.
Дата издания: 03.07.2015
Серия: The mit press
Язык: English
Иллюстрации: 191 color illus.; 382 illustrations, unspecified
Размер: 245 x 185 x 35
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: США
Описание:

An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications.

The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications.

After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.





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