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
Academic researchers and students in evolutionary biology, developmental biology, anatomy, and computer science, artificial life, and evolutionary computation.
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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- © Academic Press 2003
- 3rd October 2003
- Academic Press
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"The book has all the materials--case studies from the seashore, the growing flower-garden, and desert-striding camels; background engineering and developmental genetics; as well as conceptual and inspirational pieces--to equip the biologists and computer scientists who will take the subject forward." -Mark Ridley, Department of Zoology, University of Oxford, UK