- Shopping Bag ( 0 items )
From the Publisher"The book has all the materials...to equip the biologists and computer scientists who will take the subject forward."
-Mark Ridley, Department of Zoology, University of Oxford, UK
Ships from: acton, MA
Usually ships in 1-2 business days
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.
• 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.
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
Posted November 19, 2007