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・ Evolutionary arms race
・ Evolutionary art
・ Evolutionary baggage
・ Evolutionary Behavioral Sciences
・ Evolutionary Bioinformatics
・ Evolutionary biology
・ Evolutionary Biology (textbook)
・ Evolutionary capacitance
・ Evolutionary computation
・ Evolutionary Computation (journal)
・ Evolutionary data mining
・ Evolutionary developmental biology
・ Evolutionary developmental psychology
・ Evolutionary developmental psychopathology
・ Evolutionary developmental robotics
Evolutionary dynamics
・ Evolutionary ecology
・ Evolutionary economics
・ Evolutionary educational psychology
・ Evolutionary epistemology
・ Evolutionary ethics
・ Evolutionary fauna
・ Evolutionary game theory
・ Evolutionary Games Infographic Project gallery
・ Evolutionary Governance Theory
・ Evolutionary grade
・ Evolutionary graph theory
・ Evolutionary guidance media
・ Evolutionary history of life
・ Evolutionary history of plants


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Evolutionary dynamics : ウィキペディア英語版
Evolutionary dynamics

Evolutionary dynamics is the study of the mathematical principles according to which biological organisms as well as cultural ideas evolve evolved and continues to evolve.〔(Evolutionary dynamics: exploring the equations of life By Martin A. Nowak )〕 This is mostly achieved through the mathematical discipline of population genetics, along with evolutionary game theory. Most population genetics considers changes in the frequencies of alleles at a small number of gene loci. When infinitesimal effects at a large number of gene loci are considered, one derives quantitative genetics. Traditional population genetic models deal with alleles and genotypes, and are frequently stochastic. In evolutionary game theory, developed first by John Maynard Smith, evolutionary biology concepts may take a deterministic mathematical form, with selection acting directly on inherited phenotypes. These same models can be applied to studying the evolution of human preferences and ideologies. Many variants on these models have been developed, which incorporate weak selection, mutual population structure, stochasticity, etc. These models have relevance also to the generation and maintenance of tissues in mammals, since an understanding of tissue cell kinetics, architecture, and development from adult stem cells has important implications for aging and cancer.〔Emmanuel Tannenbaum, James L Sherley and Eugene I Shakhnovich "Evolutionary dynamics of adult stem cells: comparison of random and immortal-strand segregation mechanisms" Physical Review E 71 (2005) 041914. http://dx.doi.org/10.1103/PhysRevE.71.041914〕
==References==


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