A research tool for the Iterated Prisoner's Dilemma
Trains machine learning strategies for the IPD with evolutionary and particle swarm algorithms, including neural networks and finite state machines
Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023
Code for our PLOS ONE paper: "Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks"
In this project, you will be able to access the games and codes that I made which are shown to us in the Game Theory lecture.
Agent-based model of multi-level group selection
Python library for game theory simulations and analysis
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Multi-agent system for modeling trust in market exchanges.
A mini-game about the“Prisoner's dilemma” in game theory, in the form of a coin game
Computational analysis and data visualization tool for the Prisoner's Dilemma.
Prisoner's dilemma game simulations.
A practical look at the Axelrod tournament.
A minimalist multi-agent implementation of the social dilemma problem with governance kernels
Prisoner's Dilemma algorithms developed using Python and Jupyter Notebook based programming languages for social decision-making research in socially anxious populations.
Prisoner's-Dilemma-Tournament-Mode
This project is a computer simulation of a multi-agent extended prisoner’s dilemma using manipulation. The aim is to investigate if the outcome for all agents is better with or without the possibility of manipulation.
Prisoner's Dilemma tournament
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