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On growth, form and computers

Kumar, Sanjeev, (1974-)

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On growth, form and computers

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	On growth, form and computers/ edited by Sanjeev Kumar and Peter J. Bentley.{me_controlnum}
其他作者:	Kumar, Sanjeev,
出版者:	Amsterdam ;Elsevier Academic Press, : c2003.,
面頁冊數:	xxii, 444 p., [8] p. of col. plates :ill. ;26 cm.
內容註:	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.
標題:	Developmental biology. -
電子資源:	http://www.sciencedirect.com/science/book/9780124287655An electronic book accessible through the World Wide Web; click for information
ISBN:	9780124287655

On growth, form and computers
On growth, form and computers[electronic resource] /edited by Sanjeev Kumar and Peter J. Bentley.{me_controlnum} - Amsterdam ;Elsevier Academic Press,c2003. - xxii, 444 p., [8] p. of col. plates :ill. ;26 cm.

Includes bibliographical references and index.

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.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780124287655

Source: 91430:91427Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

592588
Developmental biology.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH491 / .O52 2003eb

Dewey Class. No.: 570.724028563

On growth, form and computers
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504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a 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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