Evolutionary dynamics

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Evolutionary biology
Diagrammatic representation of the divergence of modern taxonomic groups from their common ancestor.
Key topics Introduction to evolution Common descent Evidence of common descent
Processes and outcomes Population genetics Variation Diversity Mutation Natural selection Adaptation Polymorphism Genetic drift Gene flow Speciation Adaptive radiation Co-operation Coevolution Divergence Convergence Parallel evolution Extinction
Natural history Origin of life History of life Timeline of evolution Human evolution Phylogeny Biodiversity Biogeography Classification Evolutionary taxonomy Cladistics Transitional fossil Extinction event
History of evolutionary theory Overview Renaissance Before Darwin Darwin Origin of Species Before synthesis Modern synthesis Molecular evolution Evo-devo Current research History of paleontology (timeline)
Fields and applications Applications of evolution Biosocial criminology Ecological genetics Evolutionary aesthetics Evolutionary anthropology Evolutionary computation Evolutionary ecology Evolutionary economics Evolutionary epistemology Evolutionary ethics Evolutionary game theory Evolutionary linguistics Evolutionary medicine Evolutionary neuroscience Evolutionary physiology Evolutionary psychology Experimental evolution Phylogenetics Paleovirology Selective breeding Systematics Universal Darwinism
Social implications Evolution as fact and theory Social effect Creation–evolution controversy Objections to evolution Level of support
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Evolutionary dynamics, in biology, is the study of the mathematical principles according to which life has evolved and continues to evolve.^[1] This is mostly achieved through the mathematical discipline of population genetics. 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 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.^[2]

References

External links

• Evolutionary Game Dynamics from Clay Mathematics Institute

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