On Growth, Form and Computers
Sanjeev Kumar, Peter J. Bentley
Elsevier, Oct 3, 2003 - Mathematics - 472 pages
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
What people are saying - Write a review
We haven't found any reviews in the usual places.
adhesion artificial genome autocatalysis behaviour Biol biological biomorphs Boolean cell division cell signalling cell types cell’s cellular chapter chemical circuit complex concentration cytoplasm dendrites developmental biology developmental processes differentiation diffusion Drosophila dynamics embryo embryology encoding environment equations evolution evolutionary algorithms evolvable hardware evolved example expression patterns factors fitness FPGA function gene expression gene regulation genetic algorithm genetic regulatory networks genome genotype gradient growth implemented individual inhibition inhibitor initial input interactions iteration L-systems limb mathematical mechanisms Meinhardt modules molecular morphogen morphogenesis multicellular mutation myotubes neighbours neural development neural networks neurons newt node organism parameters pattern formation phenotype problem produce qualitative random RBNs receptor regeneration region result robot rules Sblock segmentation selection sensory sequence shape signal protein signalling molecule simulation single cell specific structure surface tension symmetry threshold tion tissue transcription transcription factors values vertebrate Wolpert