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Nowak, M.A. & Sigmund, K. (2004). Evolutionary Dynamics of Biological Games. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-04-013
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Abstract
Darwinian dynamics based on mutation and selection from 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: | Monograph (IIASA Interim Report) |
|---|---|
| Research Programs: | Adaptive Dynamics Network (ADN) |
| Depositing User: | IIASA Import |
| Date Deposited: | 15 Jan 2016 02:17 |
| Last Modified: | 27 Aug 2021 17:18 |
| URI: | https://pure.iiasa.ac.at/7432 |
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