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EvolutionaryGames (version 0.1.2)

Important Concepts of Evolutionary Game Theory

Description

Evolutionary game theory applies game theory to evolving populations in biology, see e.g. one of the books by Weibull (1994, ISBN:978-0262731218) or by Sandholm (2010, ISBN:978-0262195874) for more details. A comprehensive set of tools to illustrate the core concepts of evolutionary game theory, such as evolutionary stability or various evolutionary dynamics, for teaching and academic research is provided.

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Version

Install

install.packages('EvolutionaryGames')

Monthly Downloads

228

Version

0.1.2

License

GPL-2

Maintainer

Jochen Staudacher

Last Published

August 29th, 2022

Functions in EvolutionaryGames (0.1.2)

phaseDiagram4S

Phase Diagram for two-player games with four strategies
phaseDiagram3S

Phase Diagram for two-player games with three strategies
triangle

Triangle for 2-simplex operations
ESS

ESS for two-player games with a maximum of three strategies
ESset

Evolutionarily stable set for two-player games with three strategies
Logit

Logit dynamic
ILogit

ILogit dynamic
MSReplicator

Maynard Smith replicator dynamic
Replicator

Replicator dynamic
BNN

Brown-von Neumann-Nash dynamic
BR

BR dynamic
Smith

Smith dynamic
phaseDiagram2S

Phase Diagram for two-player games with two strategies