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On Growth, Form and Computers

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On Growth, Form and Computers provides an authoritative introduction to developmental biology and computational development. By augmenting experimental biology with computer models of development, biologists are building a greater understanding of how developmental processes such as pattern formation, morphogenesis, cell signalling and regeneration construct the staggering complexities of living organisms. At the same time, by creating computer algorithms based on developmental processes, computer scientists are enabling computers to solve a range of challenging problems such as neural network design and robot control.

Organized into five sections, this book comprehensively discusses developmental biology, analytical models of developmental biology, the role of physics in development, computational models inspired by developmental biology and real-world applications of computational development software.

As disciplines increasingly merge in areas such as computational biology and bioinformatics, this book forms a much-needed interface between the fields of developmental biology and computer science, providing an invaluable reference for researchers and students in evolutionary biology, artificial life, anatomy and evolutionary computation.

Key features:

• Foreword written by Prof. John H. Holland
• Includes chapters from many of the best and most respected scientists in their fields (including Randall Beer, Richard Dawkins, Hans Meinhardt, Ian Stewart and Lewis Wolpert)
• Provides both introductory and more detailed material on these two very complex disciplines, making key biological and computational concepts and ideas clear
• Shows biologists the usefulness of computational models and computer scientists the usefulness of developmental algorithms
• Glossary covering both computer science and developmental biology terminology

Audience: Academic researchers and students in evolutionary biology, developmental biology, anatomy, and computer science, artificial life, and evolutionary computation.

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Editorial Reviews

From the Publisher
"The book has all the equip the biologists and computer scientists who will take the subject forward."
-Mark Ridley, Department of Zoology, University of Oxford, UK
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Product Details

  • ISBN-13: 9780124287655
  • Publisher: Elsevier Science
  • Publication date: 12/22/2003
  • Pages: 472
  • Product dimensions: 7.30 (w) x 9.80 (h) x 1.00 (d)

Meet the Author

Peter J. Bentley is a Honorary Research Fellow at University College London, known for his research covering all aspects of EC, including multiobjective optimization, constraint handling, artificial immune systems, computational embryology and more, and applied to diverse applications including floor-planning, control, fraud-detection, and music composition. He speaks regularly at international conferences, and is a consultant, convenor, chair and reviewer for workshops, conferences, journals and books on Evolutionary Design and Evolutionary Computation. He has been a guest editor of special issues on Evolutionary Design and Creative Evolutionary Systems in journals, and is the editor of the book Evolutionary Design by Computers (MKP) and is the author of the popular science book, Digital Biology, to publish in May 2001.

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Read an Excerpt

Authoritative text on the growing partnership between developmental biology and computer science
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Table of Contents

An Introduction to Computational Development
Relationships Between Development and Evolution
The Principles of Cell Signalling
From Genotype to Phenotype
Plasticity & Reprogramming of Differentiated Cells in Amphibian Regeneration
Qualitative Modelling & Simulation of Developmental Regulatory Networks
Models for Pattern Formation & the Position-Specific Activation of Genes
Signalling in Multicellular Models of Plant Development
Computing An Organism
Broken Symmetries & Biological Patterns
Using Mechanics to Map Genotype to Phenotype
How Synthetic Biology Provides Insights into Contact-Mediated Lateral Inhibition & other Mechanisms
The Evolution of Evolvability
Artificial Genomes as Models of Gene Regulation
Evolving the Program for a Cell
Combining Developmental Processes & Their Physics in an Artificial Evolutionary System to Evolve Shapes
Evolution of Differentiated Multi-threaded Digital Organisms
Artificial Life Models of Neural Development Evolving Computational Neural Systems Using Synthetic Developmental Mechanisms
A Developmental Model for the Evolution of Complete Autonomous Agents
Harnessing Morphogenesis
Evolvable Hardware

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  • Anonymous

    Posted November 19, 2007

    This book is the very too good

    This book was better than mango pickle on a Saturday night. It has me in tears by the end. Subash!

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