Tutorial / Case study: The Prisoner s Dilemma Game
... 40 runs with different random initialisations 50 generations each Population of 20 Fitness=avg score over all games played A fixed environment of 8 human-designed strategies ...
... 40 runs with different random initialisations 50 generations each Population of 20 Fitness=avg score over all games played A fixed environment of 8 human-designed strategies ...
Slide 1
... Widespread use since The Logic of Animal Conflict (1973) by Maynard Smith and Price Seminal text: Evolution and the Theory of Games (1984) by Maynard Smith ...
... Widespread use since The Logic of Animal Conflict (1973) by Maynard Smith and Price Seminal text: Evolution and the Theory of Games (1984) by Maynard Smith ...
The Logic of Animal Conflict
... many apparently altruistic behaviours seen in animals. Maynard Smith took up the challenge of providing an explanation for animal conflicts from the individual rather than the species point of view. Along with George R Price he used game theory, originally developed by economists, to formulate the c ...
... many apparently altruistic behaviours seen in animals. Maynard Smith took up the challenge of providing an explanation for animal conflicts from the individual rather than the species point of view. Along with George R Price he used game theory, originally developed by economists, to formulate the c ...
Evolutionary game theory
Evolutionary game theory (EGT) is the application of game theory to evolving populations of lifeforms in biology. EGT is useful in this context by defining a framework of contests, strategies, and analytics into which Darwinian competition can be modelled. EGT originated in 1973 with John Maynard Smith and George R. Price's formalisation of the way in which such contests can be analysed as ""strategies"" and the mathematical criteria that can be used to predict the resulting prevalence of such competing strategies.Evolutionary game theory differs from classical game theory by focusing more on the dynamics of strategy change as influenced not solely by the quality of the various competing strategies, but by the effect of the frequency with which those various competing strategies are found in the population.Evolutionary game theory has proven itself to be invaluable in helping to explain many complex and challenging aspects of biology. It has been particularly helpful in establishing the basis of altruistic behaviours within the context of Darwinian process. Despite its origin and original purpose, evolutionary game theory has become of increasing interest to economists, sociologists, anthropologists, and philosophers.