Biological Computation Contributor(s): Lamm, Ehud (Author), Unger, Ron (Author) |
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ISBN: 1420087959 ISBN-13: 9781420087956 Publisher: CRC Press
Binding Type: Hardcover - See All Available Formats & Editions Published: May 2011 Click for more in this series: Chapman & Hall/CRC Mathematical & Computational Biology |
Additional Information |
BISAC Categories: - Science | Life Sciences - Biology - Mathematics | Applied - Science | Physics - General |
Dewey: 006.32 |
LCCN: 2010028310 |
Series: Chapman & Hall/CRC Mathematical & Computational Biology |
Physical Information: 0.8" H x 6.1" W x 9.1" L (1.35 lbs) 343 pages |
Features: Illustrated, Index, Table of Contents |
Review Citations: Reference and Research Bk News 08/01/2011 pg. 199 |
Descriptions, Reviews, Etc. |
Publisher Description: The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. The text focuses on cellular automata, evolutionary computation, neural networks, and molecular computation. Each chapter explores the biological background, describes the computational techniques, gives examples of applications, discusses possible variants of the techniques, and includes exercises and solutions. The authors use the examples and exercises to illustrate key ideas and techniques. Clearly conveying the essence of the major computational approaches in the field, this book brings students to the point where they can either produce a working implementation of the techniques or effectively use one of the many available implementations. Moreover, the techniques discussed reflect fundamental principles that can be applied beyond bio-inspired computing. Supplementary material is available on Dr. Unger's website. |
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