All about Iterated Prisoner's Dilemma. Python code and jupyter notebooks. See how to build new strategies and evaluate them.
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Updated
Oct 21, 2024 - Jupyter Notebook
All about Iterated Prisoner's Dilemma. Python code and jupyter notebooks. See how to build new strategies and evaluate them.
Prisoner's Dilemma research environment.
Reinforcement learning approach to the prisoner's dilemma, based on Q learning
Prisoner's dilemma simulator including genetic algorithms for strategy evolution and a spatial variant of the iterated prisoner's dilemma game
This is the repository for my 20 credit project during my final year at cardiff university. The project involves researching the best responses to strategies in the Iterated Prisoners Dilemma.
A prisoner's dilemma game simulation in Clojure
This is a model plugin for Evoplex. It implements the spatial prisoner's dilemma game proposed by Nowak, M. A., & May, R. M. (1992). Evolutionary games and spatial chaos. Nature, 359(6398), 826.
Run Prisoner's Dilemma competitions in Python.
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Recreation of the prisoner's dilemma model from Axelrod's "Evolution of Cooperation" in Python
A tool to analyze strategies for the Iterated Prisoner's Dilemma
This Python program simulates the Prisoner's Dilemma, allowing players to choose from various strategies (Cooperator, Defector, Revenger, Tit-for-Tat, Random, and Detective). Players can specify the number of rounds, with an optional delay to observe each round’s interactions.
Presentations n Papers
Finds optimal strategies for sequential symmetric games using a genetic algorithm
Lacan's Prisoner's Dilemma Done VIsually and Linearly
A NetLogo Agent Based Model extending Smaldino's (2013) Spatial Prisoner's Dilemma by incorporating reciprocating agents.
This program simulates and quantifies outcomes of parameterized prisoner’s dilemma simulation in various MAS networks. This is the third lab in the series of 3 lab projects designed to introduce Multi-Agent Systems (MAS) as a base for Machine Learning.
Simulator for the classical prisoner dilemma game.
Implements several strategies and the overall tournament functions
simulation of the dilemma pf prisonner using vba excel
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