Decentralised Optimisation Strategic Agent Model.
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Updated
Aug 30, 2024 - Python
Decentralised Optimisation Strategic Agent Model.
A simulation tool to test Braess's Paradox in traffic networks.
An Implementation of Red-Blue Hackenbush for Mobile Devices.
Trinity Tic-Tac-Toe represents a captivating multiplayer game that transforms the classic Tic-Tac-Toe by integrating principles from game theory. Developed using JavaScript DOM manipulation, this game introduces innovative modifications that elevate its complexity and strategic depth.
A Social Game System with players and their interaction through messages enabling simulation of different Game Theory Strategies
A Social Game developed using SGS where cells interact with each other using messages.
Trinity Tic-Tac-Toe is an intriguing multiplayer game that builds upon the classic Tic-Tac-Toe with elements inspired by game theory. Unlike the traditional version, Trinity Tic-Tac-Toe introduces modifications that enhance its complexity and strategic depth, making it more engaging and mentally stimulating.
Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
Projeto baseado no artigo de Robert Axelrod, "Effective Choice in the Prisoner’s Dilemma" (Axelrod, R. 1980).
Tic-tac-toe web-app game with minimax algorithm deployed in vercel
Core Idea: We want the AI to formulate and test hypotheses about quantum phenomena, guided by principles of quantum mechanics.
Porjects for Algorithmic Techniques for Artificial Intelligence
This repository serves as a comprehensive collection for the course: Computational Microeconomics, covering groundbreaking topics in the field. It is designed to provide students and external viewers with a deep dive into the evolving landscape of economics combined with cutting-edge computational techniques.
An interactive game theory application for analyzing 2-player games using nashpy and axelrod in a tkinter GUI
A class for handling simultaneous games with any number of players
Bachelor Thesis, Lennart Keidel - Machine Learning in Games of Imperfect Information
This is a simulation of basic game theory principles in Python
Decision making in multi-agent systems when agents have multiple choices and are connected with other agents according to a specific social network.
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