Biological Computation Ehud Lamm

ISBN: 9781420087956

Published: May 24th 2011

Hardcover

323 pages


Description

Biological Computation  by  Ehud Lamm

Biological Computation by Ehud Lamm
May 24th 2011 | Hardcover | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 323 pages | ISBN: 9781420087956 | 10.26 Mb

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,MoreThe 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.



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