CHF 190.00

Analysis of Evolutionary Processes
The Adaptive Dynamics Approach and Its Applications

English · Hardback

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Zusatztext "Any scientist interested in evolutionary theory should become familiar with the techniques presented here! and there is currently no better source." ---Peter A. Abrams! American Journal of Human Biology Informationen zum Autor Fabio Dercole & Sergio Rinaldi Klappentext Quantitative approaches to evolutionary biology traditionally consider evolutionary change in isolation from an important pressure in natural selection: the demography of coevolving populations. In Analysis of Evolutionary Processes, Fabio Dercole and Sergio Rinaldi have written the first comprehensive book on Adaptive Dynamics (AD), a quantitative modeling approach that explicitly links evolutionary changes to demographic ones. The book shows how the so-called AD canonical equation can answer questions of paramount interest in biology, engineering, and the social sciences, especially economics. After introducing the basics of evolutionary processes and classifying available modeling approaches, Dercole and Rinaldi give a detailed presentation of the derivation of the AD canonical equation, an ordinary differential equation that focuses on evolutionary processes driven by rare and small innovations. The authors then look at important features of evolutionary dynamics as viewed through the lens of AD. They present their discovery of the first chaotic evolutionary attractor, which calls into question the common view that coevolution produces exquisitely harmonious adaptations between species. And, opening up potential new lines of research by providing the first application of AD to economics, they show how AD can explain the emergence of technological variety. Analysis of Evolutionary Processes will interest anyone looking for a self-contained treatment of AD for self-study or teaching, including graduate students and researchers in mathematical and theoretical biology, applied mathematics, and theoretical economics. Zusammenfassung Shows how Adaptive Dynamics (AD) canonical equation can answer questions of interest in biology, engineering, and the social sciences, especially economics. This book looks at important features of evolutionary dynamics as viewed through the lens of AD....

Product details

Authors Fabio Dercole, Sergio Rinaldi, Fabio/ Rinaldi Dercole, Fabio Rinaldi Dercole, Dercole Fabio, Rinaldi Sergio
Assisted by Simon Levin (Editor)
Publisher Princeton University Press
 
Content Book
Product form Hardback
Publication date 02.03.2008
Subject Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous
 
EAN 9780691120065
ISBN 978-0-691-12006-5
Pages 360
Dimensions (packing) 15.9 x 24.1 x 3.2 cm
 
Series Princeton Series in Theoretica
Princeton Series in Theoretical and Computational Biology
Subjects Charles Darwin, Parameter, Technology, Evolution, Technological change, SCIENCE / Life Sciences / Evolution, chromosome, Ecology, Adaptation, probability, Development Economics, Natural selection, Population Genetics, Organism, Emergence, Population Dynamics, Coevolution, phenotype, genetic algorithm, stochastic, adaptive Radiation, Predation, evolutionary game theory, stochastic simulation, Darwinism, Lamarckism, Initial condition, sexual selection, Reproductive success, genetic drift, kin selection, Evolutionary dynamics, Bifurcation Theory, Allele, Evolution / Evolutionary biology, Saddle-node bifurcation, Hopf bifurcation, attractor, Phylogenetic tree, Genetic Variability, Endogenous growth theory, Speciation, dynamical system, Genotype, Quantitative genetics, genetic variance, Eigenvalues and Eigenvectors, phenomenological model, Allopatric speciation, Mendelian inheritance, Evolution of sexual reproduction, Population cycle, Group selection, Directional selection, Parapatric speciation, Disruptive selection, Bifurcation diagram, Limit cycle, Outcome (probability), sociocultural evolution, Parameter space, Frequency-dependent selection, The Evolution of Cooperation, Mutualism (biology), Phenotypic trait, experimental evolution, Replicator equation, Genetic structure, Hybrid speciation, Evolutionary suicide, Sympatric speciation, Birth process
 

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