Biological computation

Biological computation

by Lamm, Ehud

Type Book
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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…

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Title Statements

  • Full title :Biological computation / Ehud Lamm, Ron Unger.

Summary

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.

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Edition Statements

  • Publication Date:©2011.

Publication Statements

  • Publisher(s):CRC Press
  • Place of Publication:Boca Raton
  • Language:eng
  • Publication Date:©2011.

The Physical Object

  • Description:1 online resource (xix, 323 pages) : : illustrations.

Edition Identifiers

  • ISBN:1322613788, 9781322613789, 9781420087963, 1420087967, 9780429138546, 0429138547, 9781420087956, 1420087959
  • oclc:ocn901278737
  • LC Classification:QA76.884
  • Dewey Decimal:006.3/2

Table of Contents

Front Cover; Table of Contents; Preface; Chapter 1: Introduction and Biological Background; Chapter 2: Cellular Automata; Chapter 3: Evolutionary Computation; Chapter 4: Artificial Neural Networks; Chapter 5: Molecular Computation; Chapter 6: The Never-Ending Story: Additional Topics at the Interface between Biology and Computation; Back Cover

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Subjects

Writers

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