Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics
Эволюционная теория игр, естественный отбор и дарвиновская динамика
2005-05-23
SCID: 54.1/44xsqe95
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Darwinian dynamicsevolutionarily stable strategyevolutionary game theoryfitness-generating functionnatural selection
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Abstract (AI)
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.
Key Findings
1
An ESS maximum principle is formulated and represented through adaptive landscapes, clarifying adaptation, Fisher’s Fundamental Theorem of Natural Selection, and evolutionary interactions.
2
Darwinian dynamics driven by natural selection can produce special outcomes, including evolutionarily stable strategies (ESSs).
3
It derives evolutionary-game mathematics from Darwin’s postulates and introduces a fitness-generating function (G-function) to simplify notation and support Darwinian dynamics.
4
The book develops evolutionary game theory as a framework for analyzing co-evolution, speciation, extinction, diversity, and the distribution of life.
Research Object
evolutionary dynamics of biological populations under natural selection
Research Subject
the mathematical fitness-based mechanisms and outcomes of natural selection, including co-evolution, speciation, extinction, adaptation, and evolutionarily stable strategies
Publication Details
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2005-05-23
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