Game Theoretic Representation of Economic Experiments
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Updated
Mar 23, 2021 - R
Game Theoretic Representation of Economic Experiments
Machine Learning Finite State Machine Models from Data with Genetic Algorithms
General purpose toolbox for simulating quantum versions of game theoretic models. Quantum versions of models that have been handeled are: Penny Flip Game, Prisoner's Dilemma, Two Person Duel, Battle of the Sexes, Newcomb's Paradox, Hawk and Dove Game and Monty Hall Problem.
Code to compute Optimal Experimental Design as in Balietti, Klein & Riedl (2020)
An R package called empiricalGameTheory which provides methods for analysing heuristic games using empirical game-theory.
Create shiny apps to play gtree games
Finds optimal strategies for sequential symmetric games using a genetic algorithm
Simulating the game theory behind Linaia-Agon by Iannis Xenakis
Experiments in R to compute alternative ranking methods with World Rugby teams
Bespoke algorithm for tackling one-sided matching problem where we have preferences to consider.
Evolutionary game theory solver for R. Classifies internal and face equilibria of 1-population games with continuous replication, 2-5 competitors. User-defined payoff matrix.
Evolutionary game theory solver in R. Randomly generates payoff matrices for single-population games with 2-5 players and solves them under continuous time replicator dynamics. Assesses full game, face games as faces of a larger system, and face games as independent games.
For my ECON 7710 (Microeconomic Theory 2) I co-authored a short paper that tackled The Tragedy of the Commons game, from the firm's point of view, with a new approach.
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