Overview
- Includes leading international experts’ insights into the principles of information processing and optimization in simulated and experimental living, physical and chemical substrates
- Presents a tribute to Julian Francis Miller’s ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry, and theoretical biology
- Is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computers scientists, and engineers to chemists and biologists
- Includes supplementary material: sn.pub/extras
Part of the book series: Emergence, Complexity and Computation (ECC, volume 28)
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Table of contents (17 chapters)
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Evolution and Hardware
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Cartesian Genetic Programming Applications
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Chemistry and Development
Editors and Affiliations
Bibliographic Information
Book Title: Inspired by Nature
Book Subtitle: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday
Editors: Susan Stepney, Andrew Adamatzky
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-319-67997-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-67996-9Published: 03 November 2017
Softcover ISBN: 978-3-319-88528-5Published: 01 September 2018
eBook ISBN: 978-3-319-67997-6Published: 25 October 2017
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: X, 387
Number of Illustrations: 90 b/w illustrations, 78 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Algorithms, Complexity