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On growth, form and computers / edited by Sanjeev Kumar and Peter J. Bentley.

Contributor(s): Material type: TextTextPublication details: Amsterdam ; London : Elsevier Academic Press, ©2003.Description: 1 online resource (xxii, 444 pages, [8] pages of color plates) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780080497587
  • 0080497586
Subject(s): Genre/Form: Additional physical formats: Print version:: On growth, form and computers.DDC classification:
  • 570.724028563 22
LOC classification:
  • QH491 .O52 2003eb
Online resources:
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.
Summary: Conceived for both computer scientists and biologists alike, this collection of 22 essays highlights the important new role that computers play in developmental biology research. Essays show how through computer modeling, researchers gain further insight into developmental processes. Featured essays also cover their use in designing computer algorithms to tackle computer science problems in areas like neural network design, robot control, evolvable hardware, and more. Peter Bentley, noted for his prolific research on evolutionary computation, and Sanjeev Kumar head up a respected team to guide readers through these very complex and fascinating disciplines. * Covers both developmental biology and computational development -- the only book of its kind! * Provides introductory material and more detailed information on BOTH disciplines * Includes contribututions from Richard Dawkins, Lewis Wolpert, Ian Stewart, and many other experts.
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Conceived for both computer scientists and biologists alike, this collection of 22 essays highlights the important new role that computers play in developmental biology research. Essays show how through computer modeling, researchers gain further insight into developmental processes. Featured essays also cover their use in designing computer algorithms to tackle computer science problems in areas like neural network design, robot control, evolvable hardware, and more. Peter Bentley, noted for his prolific research on evolutionary computation, and Sanjeev Kumar head up a respected team to guide readers through these very complex and fascinating disciplines. * Covers both developmental biology and computational development -- the only book of its kind! * Provides introductory material and more detailed information on BOTH disciplines * Includes contribututions from Richard Dawkins, Lewis Wolpert, Ian Stewart, and many other experts.

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.

Includes bibliographical references and index.

Print version record.

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