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All of life is a game, and evolution by natural selection is no
exception. The evolutionary game theory developed in this 2005 book
provides the tools necessary for understanding many of nature's
mysteries, including co-evolution, speciation, extinction and the
major biological questions regarding fit of form and function,
diversity, procession, and the distribution and abundance of life.
Mathematics for the evolutionary game are developed based on
Darwin's postulates leading to the concept of a fitness generating
function (G-function). G-function is a tool that simplifies
notation and plays an important role developing Darwinian dynamics
that drive natural selection. Natural selection may result in
special outcomes such as the evolutionarily stable strategy (ESS).
An ESS maximum principle is formulated and its graphical
representation as an adaptive landscape illuminates concepts such
as adaptation, Fisher's Fundamental Theorem of Natural Selection,
and the nature of life's evolutionary game.
All of life is a game, and evolution by natural selection is no
exception. The evolutionary game theory developed in this 2005 book
provides the tools necessary for understanding many of nature's
mysteries, including co-evolution, speciation, extinction and the
major biological questions regarding fit of form and function,
diversity, procession, and the distribution and abundance of life.
Mathematics for the evolutionary game are developed based on
Darwin's postulates leading to the concept of a fitness generating
function (G-function). G-function is a tool that simplifies
notation and plays an important role developing Darwinian dynamics
that drive natural selection. Natural selection may result in
special outcomes such as the evolutionarily stable strategy (ESS).
An ESS maximum principle is formulated and its graphical
representation as an adaptive landscape illuminates concepts such
as adaptation, Fisher's Fundamental Theorem of Natural Selection,
and the nature of life's evolutionary game.
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