EvoDyn-3s is a Mathematica computable document designed to analyze evolutionary dynamics in 3-strategy games. It generates phase portraits, computes rest points, and shows the eigenvalues at the rest points. For further details, please read the paper "EvoDyn-3s: A Mathematica Computable Document to Analyze Evolutionary Dynamics in 3-Strategy Games".

3s-MSRD-ES (3-strategy Maynard Smith Replicator Dynamics with Endogenous Separation) is a Mathematica notebook that shows the phase portrait of the Maynard Smith Replicator Dynamics with endogenous separation in any 2-player 3-strategy game, with endogenous separation.

This is a Mathematica notebook created to analyze the replicator dynamics in 3-strategy games under positive and negative selective assortment. For further details, please read the paper "Positive and negative selective assortment".

This is a Mathematica notebook created to solve the pair approximation for 2x2 symmetric games on regular networks. The pair approximation is a system of differential equations explained in detail in chapter III-5 of the free online book Agent-based Evolutionary Game Dynamics.

BEP-3s-sp is a Mathematica notebook created to analyze Best Experienced Payoff (BEP) dynamics in 3 strategy games with several players. This software was used to create several figures in the paper "Strategy sets closed under payoff sampling".

Replicator-Mutator Dynamics with Three Strategies. For further details, please read the paper "Strictly Dominated Strategies in the Replicator-Mutator Dynamics". There is also a Mathematica demonstration.

Expected Motion in 2x2 Symmetric Games Played by Reinforcement Learners. For further details, please read the paper "Reinforcement Learning Dynamics in Social Dilemmas"

Inference with Fuzzy IF-THEN Rules. For further details, please read the paper "Fuzzy Logic for Social Simulation using Mathematica"

Expected Dynamics of an Imitation Model in 2x2 Symmetric Games. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

Expected Dynamics of an Intra-Population Imitation Model for Inter-Population 2x2 Symmetric Games. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

Expected Dynamics of an Imitation Model in the Hawk-Dove Game. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

Expected Dynamics of an Intra-Population Imitation Model in the Two-Population Hawk-Dove Game. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

Mixing and Infection in a Two-Group SIS Model. For further details, please read the paper "Mixing and diffusion in a two-type population "

Dynamics of Three-Strategy Symmetric Games. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

Difference Equation versus Differential Equation. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

Best Experienced Payoff (BEP) dynamics in 3-strategy Tacit Coordination Games (TCG). For further details, please read the paper "Stability of Strict Equilibria in Best Experienced Payoff Dynamics: Simple Formulas and Applications"

An Imitation Model for 2x2 Symmetric Games. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

An Intra-Population Imitation Model for Inter-Population 2x2 Symmetric Games. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

An Imitation Model in the Hawk-Dove Game. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"

An Intra-Population Imitation Model in the Two-Population Hawk-Dove Game. For further details, please read the paper "Stochastic Approximation to Understand Simple Simulation Models"