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.
Originalsprache | Englisch |
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Seiten (von - bis) | 793-799 |
Seitenumfang | 7 |
Fachzeitschrift | Science |
Jahrgang | 303 |
Ausgabenummer | 5659 |
Publikationsstatus | Veröffentlicht - 2004 |
ÖFOS 2012
- 1010 Mathematik