Pioneered by John Maynard Smith and others, evolutionary game theory has become an important approach to studying a wide range of biological and social problems, such as microbial interactions and animal behavior. In evolutionary game dynamics, the fitness of individuals depends on the relative abundance of all individual types in the population, and higher-fitness individual types tend to increase in abundance. This course introduces basic concepts in evolutionary game theory, including evolutionarily stable strategies, replicator dynamics, finite populations, and games on networks, along with applications to social evolution, particularly to understanding human cooperation.
Crosslisted with MATH030.04
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| Name | Reviews |
|---|---|
| Feng Fu | 12 |
| Olivia Chu | 1 |
| Caroline Hammond | 0 |
| Mark Lovett | 0 |
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