32 results for “topic:prisoner-dilemma-simulation”
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
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.
Prisoner's dilemma simulator including genetic algorithms for strategy evolution and a spatial variant of the iterated prisoner's dilemma game
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.
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Run Prisoner's Dilemma competitions in Python.
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
🎮 A web simulator for the Iterated Prisoner's Dilemma, inspired by Robert Axelrod🧠
A tool to analyze strategies for the Iterated Prisoner's Dilemma
Recreation of the prisoner's dilemma model from Axelrod's "Evolution of Cooperation" in Python
Lacan's Prisoner's Dilemma Done VIsually and Linearly
Published research codebase: multi-agent N-person IPD simulation + analysis (game theory / MARL).
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.
Agentic Game Lab is a modular research framework for studying LLM-based AI agents in stochastic, multi-player games such as the Iterated Prisoner’s Dilemma. It integrates configurable simulators, structured logging, and analysis pipelines to evaluate emergent strategic behavior under noise, payoff drift, and dynamic rules.
Implements several strategies and the overall tournament functions
The prisoner's dilemma in python
Simulator for the classical prisoner dilemma game.
No description provided.
No description provided.
simulation of the dilemma pf prisonner using vba excel
Yet another version of the Iterated Prisoners Dilemma, where you can write and test strategies against each other
An implementation of iterative prisoner dilemma with reinforcement learning via q_table (NOT DQN) in Python with around 30 strategies
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN
No description provided.