gamesGA: Genetic Algorithm for Sequential Symmetric Games

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.

Depends: R (≥ 3.4.0)
Imports: grDevices (≥ 3.4.0), graphics (≥ 3.4.0), stats (≥ 3.4.0), shiny (≥ 1.0.0)
Suggests: testthat
Published: 2020-03-01
DOI: 10.32614/CRAN.package.gamesGA
Author: A. Bradley Duthie ORCID iD [aut, cre]
Maintainer: A. Bradley Duthie <brad.duthie at>
License: MIT + file LICENSE
NeedsCompilation: yes
CRAN checks: gamesGA results


Reference manual: gamesGA.pdf


Package source: gamesGA_1.1.3.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gamesGA_1.1.3.7.tgz, r-oldrel (arm64): gamesGA_1.1.3.7.tgz, r-release (x86_64): gamesGA_1.1.3.7.tgz, r-oldrel (x86_64): gamesGA_1.1.3.7.tgz
Old sources: gamesGA archive


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