Evolutionary dynamics of biological games

Nowak, M.A. & Sigmund, K. (2004). Evolutionary dynamics of biological games. Science 303 (5659) 793-799. 10.1126/science.1093411.

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Abstract

Darwinian dynamics based on mutation and selection form the core of mathematical models for adaptation and coevolution of biological populations. The evolutionary outcome is often not a fitness-maximizing equilibrium but can include oscillations and chaos. For studying frequency-dependent selection, game-theoretic arguments are more appropriate than optimization algorithms. Replicator and adaptive dynamics describe short- and long-term evolution in phenotype space and have found applications ranging from animal behavior and ecology to speciation, macroevolution, and human language. Evolutionary game theory is an essential component of a mathematical and computational approach to biology.

Item Type:	Article
Research Programs:	Adaptive Dynamics Network (ADN)
Bibliographic Reference:	Science; 303(5659):793-799 (6 February 2004)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 02:16
Last Modified:	27 Aug 2021 17:18
URI:	https://pure.iiasa.ac.at/7152

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