Anyone who is interested in the theoretical models of complicated living systems should have this in his or her library. ( Bulletin of Mathematical Biology)From the Publisher:
This book surveys theoretical models in three broad areas of biology (the origin of life, the immune system, and memory in the brain), introducing mathematical and (mainly) computational models that have been used to construct simulations. Most current books on theoretical biology fall into one of two categories: (a) books that specialize in one area of biology and treat theoretical models in considerable depth; and (b) books that concentrate on purely mathematical models, with computers used only to find numerical solutions to differential equations, for example. Although some mathmatical models are considered in this book, the main emphasis is on stochastic computer modles of biological systems. Such techniques have a much greater potential for producting detailed, realistic models of individual systems, and are likely to be the preferred modelling methods of the future. By considering three different areas in biology, the book shows how several of these modelling techniques have been successfully applied in diverse areas. Put simply, this book is important becuase it shows how the power of modern computers is allowing researchers in theoretical biology to break free of the constraints on modelling that were imposed by the traditional differential equation approach. Anyone who is interested in the theoretical models of complicated living systems should have this in his or her library. G. B. Ermentrout, Bulletin of Mathematical Biology
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Descripción Clarendon Press, 1997. Paperback. Estado de conservación: Brand New. reprint edition. 420 pages. 9.50x6.50x1.00 inches. In Stock. Nº de ref. de la librería zk0198596871
Descripción Oxford University Press, 1998. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: I: THE ORIGIN OF LIFE1. The molecular basis of life2. Molecular evolution and quasi-species3. Stochastic processes4. A spin glass model of the origin of life5. The origin of the genetic code6. Hypercycles7. Artificial lifeII: THE IMMUNE SYSTEM8. The immune system9. Bell's model10. Adaptive walks11. Maturation of the immune response12. The symmetric immune network model13. A shape space network model14. AIDSIII: THE BRAIN15. Neurons and synapses16. Memory17. The McCullogh-Pitts neural net18. Perceptrons19. Connectionism20. Attractor neural networks21. Unsupervised learning22. Evolutionary learningA. Differential equationsB. A statistics primerC. Computer simulationBibliographyIndex. Nº de ref. de la librería ABE_book_new_0198596871
Descripción Oxford University Press, 1998. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0198596871