Finds adaptive strategies for sequential symmetric games using a genetic algorithm. Currently, any symmetric two by two matrix is allowed, and strategies can remember the history of an opponent's play from the previous three rounds of moves in iterated interactions between players. The genetic algorithm returns a list of adaptive strategies given payoffs, and the mean fitness of strategies in each generation.
|Author||person("A. Bradley", "Duthie", email = "[email protected]", role = c("aut", "cre"))|
|Maintainer||A. Bradley Duthie <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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