A research tool for the Iterated Prisoner's Dilemma
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Updated
Jun 11, 2024 - Python
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 for our PLOS ONE paper: "Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks"
Computational analysis and data visualization tool for the Prisoner's Dilemma.
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
Prisoner's Dilemma algorithms developed using Python and Jupyter Notebook based programming languages for social decision-making research in socially anxious populations.
The prisoner's dilemma in python
Agent-based model of multi-level group selection
A practical look at the Axelrod tournament.
A minimalist multi-agent implementation of the social dilemma problem with governance kernels
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Prisoner's-Dilemma-Tournament-Mode
A mini-game about the“Prisoner's dilemma” in game theory, in the form of a coin game
Prisoner's Dilemma tournament
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.
Multi-agent system for modeling trust in market exchanges.
My algorithm for a Prisoner's Dilemma tournament.
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN
Simulation of the Iterated Prisoner's Dilemma with several potential strategies
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