Evolutionary DynamicsAt a time of unprecedented expansion in the life sciences, evolution is the one theory that transcends all of biology. Any observation of a living system must ultimately be interpreted in the context of its evolution. Evolutionary change is the consequence of mutation and natural selection, which are two concepts that can be described by mathematical equations. Evolutionary Dynamics is concerned with these equations of life. In this book, Martin A. Nowak draws on the languages of biology and mathematics to outline the mathematical principles according to which life evolves. His work introduces readers to the powerful yet simple laws that govern the evolution of living systems, no matter how complicated they might seem. Evolution has become a mathematical theory, Nowak suggests, and any idea of an evolutionary process or mechanism should be studied in the context of the mathematical equations of evolutionary dynamics. His book presents a range of analytical tools that can be used to this end: fitness landscapes, mutation matrices, genomic sequence space, random drift, quasispecies, replicators, the Prisoner’s Dilemma, games in finite and infinite populations, evolutionary graph theory, games on grids, evolutionary kaleidoscopes, fractals, and spatial chaos. Nowak then shows how evolutionary dynamics applies to critical realworld problems, including the progression of viral diseases such as AIDS, the virulence of infectious agents, the unpredictable mutations that lead to cancer, the evolution of altruism, and even the evolution of human language. His book makes a clear and compelling case for understanding every living system—and everything that arises as a consequence of living systems—in terms of evolutionary dynamics. 
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LibraryThing Review
Comentário do usuário  amarcobio  LibraryThingNowak's writing is always engaging, and this book is no exception. It provides an alternative view to the classic allele population genetics. Specifically, he strongly relies in game theory. It is a good complement to more classic texts to prepare a course. Ler resenha completa
Conteúdo
Introduction  1 
What Evolution Is  9 
Fitness Landscapes and Sequence Spaces  27 
Evolutionary Games  45 
Prisoners of the Dilemma  71 
Finite Populations  93 
Games in Finite Populations  107 
Evolutionary Graph Theory  123 
HIV Infection  167 
Evolution of Virulence  189 
Evolutionary Dynamics of Cancer  209 
Language Evolution  249 
Conclusion  287 
Further Reading  295 
311  
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Termos e frases comuns
advantageous mutant ALLC ALLD allele antigenic diversity arises average fitness basic reproductive basic reproductive ratio biology chromosomes CIN genes compartment cycle defect defectors denotes describes deterministic differential equation disease dominated error threshold evolutionarily stable strategy evolutionary dynamics evolutionary game dynamics evolutionary game theory Figure finite languages finite populations fitness landscape fixation probability frequency frequencydependent selection genetic instability genome given graph GTFT Hence human inactivation increase individual infected host infinite initial interaction large population lead learner learning linear LotkaVolterra equation mathematical Moran process mutation rate Nash equilibrium natural selection neutral Nowak oncogenes parameter region parasite strains payoff matrix players Prisoner's Dilemma quasispecies random ratelimiting hits reach fixation relative fitness replicator equation selection dynamics selection favors sentences sequence space simplex stable equilibrium strainspecific strategy strict Nash equilibrium superinfection tion Titfortat tumor suppressor gene universal grammar vertex viral virus load weak selection WSLS