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This project simulates the Prisoner's Dilemma using various strategies in Python, focusing on a novel Self-Preservation + Tit for Tat approach.

Python 100.00%
algorithms gametheory

game_theory's Introduction

Prisoner's Dilemma Simulation

Overview

This Python-based simulation project explores the dynamics of the Prisoner's Dilemma, a fundamental concept in game theory. The project focuses on the implementation and analysis of various strategies, particularly highlighting a hybrid strategy - Self-Preservation + Tit for Tat. This innovative approach integrates the classic reciprocal strategy of Tit for Tat with elements of self-protection, aiming to provide insights into adaptive behaviors in strategic decision-making scenarios.

Features

  • Implementation of the Prisoner's Dilemma game.
  • Strategies: Always Cooperate, Always Defect, Random, Self-Preservation + Tit for Tat.
  • Visualization of game rounds and strategies.

Requirements

  • Python 3.x
  • Matplotlib (for visualization)

Usage

Run prisoners_dilemma.py to execute the simulation and generate the outcome plots.

Contributing

Feel free to fork the repository and submit pull requests.

License

MIT License

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