Overview
- Introduces recent research activities in 'Natural Computing' and shows the future direction of this discipline
- Presents a novel approach to understanding nature as computing
- Not limited to natural computing / computer science, it illustrates the emergence and scope of this novel field
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics for Industry (MFI, volume 9)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
Keywords
About this book
This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing and educational technology. It presents extended versions of the best papers selected from the symposium “7th International Workshop on Natural Computing” (IWNC7), held in Tokyo, Japan, in 2013.
The target audience is not limited to researchers working in natural computing but also those active in biological engineering, fine/media art design, aesthetics and philosophy.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Natural Computing
Book Subtitle: Selected Results from the IWNC 7 Symposium
Editors: Yasuhiro Suzuki, Masami Hagiya
Series Title: Mathematics for Industry
DOI: https://doi.org/10.1007/978-4-431-55105-8
Publisher: Springer Tokyo
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Japan 2015
Hardcover ISBN: 978-4-431-55104-1Published: 12 August 2014
Softcover ISBN: 978-4-431-56167-5Published: 23 August 2016
eBook ISBN: 978-4-431-55105-8Published: 29 July 2014
Series ISSN: 2198-350X
Series E-ISSN: 2198-3518
Edition Number: 1
Number of Pages: VIII, 132
Number of Illustrations: 21 b/w illustrations, 18 illustrations in colour
Topics: Computational Intelligence, Simulation and Modeling, Computational Science and Engineering, Statistics and Computing/Statistics Programs, Computational Biology/Bioinformatics