An algorithm of evolutionarily stable strategies for the single-population evolutionary game

Algorithm for Evolutionarily Stable Strategies against Pure Mutations

Evolutionarily stable strategy (ESS) is an important solution concept in game theory which 1 has been applied frequently to biology and even cancer. Finding such a strategy has been shown to 2 be difficult from a theoretical complexity perspective. Informally an ESS is a strategy that if followed 3 by the population cannot be taken over by a mutation strategy. We present an algorithm for the ca...

Evolutionarily Stable Strategies in Quantum Hawk- Dove Game

Hawk-Dove is an interesting and important game of evolutionary biology. We consider the game from point of view of evolutionarily stable strategies (ESSs). In the classical version of the game only a mixed ESS exists.We find a quantum version of this game where both pure and mixed ESSs can exist.

Evolutionarily stable dispersal strategies.

Using the idea that life-history parameters are subject to natural selection and should approach values that are stable optima, with the population immune to invasion by mutant individuals, we derive an analytic expression for the evolutionarily stable dispersal rate in a stochastic island model with random site extinction. The results provide interesting contrasts between three different optim...

10 Evolutionarily Stable Strategies

In 1973 the biologist John Maynard Smith and the mathematician G. R. Price wrote an article in Nature showing how game theory applies to the behavior of animals (Maynard Smith and Price 1973). Maynard Smith went on to write a book on the subject (Maynard Smith 1982), which has become a classic. The idea of applying game theory to animals, and not just the higher primates, but fish, dung beetles...

Conditional Evolutionarily Stable Strategies