Biological Computation / Edition 1

Biological Computation / Edition 1

by Ehud Lamm, Ron Unger
     
 

ISBN-10: 1420087959

ISBN-13: 9781420087956

Pub. Date: 06/15/2011

Publisher: Taylor & Francis

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,

Overview

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.

Product Details

ISBN-13:
9781420087956
Publisher:
Taylor & Francis
Publication date:
06/15/2011
Series:
Chapman & Hall/CRC Mathematical and Computational Biology Series, #37
Pages:
343
Product dimensions:
6.10(w) x 9.20(h) x 0.80(d)

Table of Contents

Introduction and Biological Background
Biological Computation
The Influence of Biology on Mathematics—Historical Examples
Biological Introduction
Models and Simulations

Cellular Automata
Biological Background
The Game of Life
General Definition of Cellular Automata
One-Dimensional Automata
Examples of Cellular Automata
Comparison with a Continuous Mathematical Model
Computational Universality
Self-Replication
Pseudo Code

Evolutionary Computation
Evolutionary Biology and Evolutionary Computation
Genetic Algorithms
Example Applications
Analysis of the Behavior of Genetic Algorithms
Lamarckian Evolution
Genetic Programming
A Second Look at the Evolutionary Process
Pseudo Code

Artificial Neural Networks
Biological Background
Learning
Artificial Neural Networks
The Perceptron
Learning in a Multilayered Network
Associative Memory
Unsupervised Learning

Molecular Computation
Biological Background
Computation Using DNA
Enzymatic Computation

The Never-Ending Story: Additional Topics at the Interface between Biology and Computation
Swarm Intelligence
Artificial Immune Systems
Artificial Life
Systems Biology
Recommendations for Additional Reading

A Summary, Further Reading, Exercises, and Answers appear at the end of each chapter.

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