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Imitation of life: How biology is inspiring computing [Book Review]

Doyle, John and Csete, Marie (2004) Imitation of life: How biology is inspiring computing [Book Review]. Nature, 431 (7011). pp. 908-909. ISSN 0028-0836. doi:10.1038/431908a. https://resolver.caltech.edu/CaltechAUTHORS:20150325-141647738

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Abstract

Generations of engineers have recognized that, in many respects, biology does it better. Imitation of Life is a whirlwind history, richer even than its subtitle suggests, through various computational disciplines inspired by biology. This is an ambitious undertaking for such a short book but, although it ignores some important unifying principles, its brevity is also a virtue. The inspirations from biology are scattered throughout the book, and their collective impact is felt best when the book is digested whole, at one sitting. The early chapters on biology as a metaphor are the least satisfying, and any reader who stops there may never return for the genuine delights that follow.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1038/431908a DOIArticle
http://www.nature.com/nature/journal/v431/n7011/full/431908a.htmlPublisherArticle
http://rdcu.be/co3gPublisherFree ReadCube access
http://mitpress.mit.edu/books/imitation-lifePublisherBook Publisher
ORCID:
AuthorORCID
Doyle, John0000-0002-1828-2486
Csete, Marie0000-0003-4591-0510
Alternate Title:The sincerest form of flattery
Additional Information:© 2004 Nature Publishing Group. Book review of: Imitation of Life: How Biology is Inspiring Computing by Nancy Forbes, MIT Press: 2004. 176 pp.
Issue or Number:7011
DOI:10.1038/431908a
Record Number:CaltechAUTHORS:20150325-141647738
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150325-141647738
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:56080
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Mar 2015 03:43
Last Modified:10 Nov 2021 20:54

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