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Informationen zum Autor 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. Klappentext 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. "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 Zusammenfassung Presents a collection of 22 essays presenting the role that computers play in developmental biology research. This book shows how through computer modeling! researchers gain further insight into developmental processes. It covers their use in designing computer algorithms to tackle computer science problems in areas like neural network design. Inhaltsverzeichnis 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...
