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Pattern Analysis and Applications

, Volume 8, Issue 4, pp 390–391 | Cite as

“Imitation of life: how biology is inspiring computing” by Nancy Forbes

  • Wolfgang Maass
Book Review

This book surveys a fairly large number of research areas where biology has provided inspiration for the design of novel computational models and algorithms: artificial neural networks, evolutionary algorithms, cellular automata, artificial life, DNA computing, biomolecular self-assembly, amorphous computing, artificial immune systems, and biologically inspired hardware. A remarkable feature of the book is that it explains goals and results of these research areas in a very accessible and vivid style. It uses anecdotes and mini-portraits of researchers in order to avoid the account getting too dry. In addition, a number of figures are used to illustrate new concepts and discoveries. In this way the book manages to cover quite complex material without a single mathematical formula. This is very beneficial, since the topics discussed in this book are of interest for a diverse set of readers of widely varying age and educational background. In fact, the general public has a right to be...

References

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    Vapnik VN (1998) Statistical learning theory. Wiley, New YorkzbMATHGoogle Scholar
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    Schölkopf B, Smola AJ (2002) Learning with kernels. MIT Press, CambridgeGoogle Scholar
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    Rosenblatt JF (1962) Principles of neurodynamics. Spartan Books, New YorkzbMATHGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2006

Authors and Affiliations

  1. 1.Institute for Theoretical Computer ScienceTechnische Universitaet GrazGrazAustria

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