Table of contents : On Growth, Form and Computers......Page 1 Copyright......Page 2 Contents......Page 3 About the editors......Page 5 Foreword......Page 6 Contributors......Page 10 Preface......Page 15 Acknowledgements......Page 17 01. An introduction to computational development......Page 19 02. Relationships between development and evolution......Page 62 03. The principles of cell signalling......Page 79 04. From genotype to phenotype: looking into the black box......Page 97 05. Plasticity and reprogramming of differentiated cells in amphibian regeneration......Page 107 06. Qualitative modelling and simulation of developmental regulatory networks......Page 122 07. Models for pattern formation and the position-specific activation of genes......Page 148 08. Signalling in multicellular models of plant development......Page 177 09. Computing an organism: on the interface between informatic and dynamic processes......Page 183 10. Broken symmetries and biological patterns......Page 199 11. Using mechanics to map genotype to phenotype......Page 221 12. How synthetic biology provides insights into contact-mediated lateral inhibition and other mechanisms......Page 238 13. The evolution of evolvability......Page 254 14. Artificial genomes as models of gene regulation......Page 271 15. Evolving the program for a cell: from French flags to Boolean circuits......Page 293 16. Combining developmental processes and their physics in an artificial evolutionary system to evolve shapes......Page 317 17. Evolution of differentiated multi-threaded digital organisms......Page 334 18. Artificial life models of neural development......Page 351 19. Evolving computational neural systems using synthetic developmental mechanisms......Page 365 20. A developmental model for the evolution of complete autonomous agents......Page 389 21. Harnessing morphogenesis......Page 404 22. Evolvable hardware: pumping life into dead silicon......Page 417 Glossary......Page 436 Index......Page 443