Skip to main content

GameForge

A comprehensive, modular framework for advanced game theory applications, integrating classical, computational, behavioral, and AI-driven game theory into a unified, scalable ecosystem.


Overview

GameForge is a powerful, extensible library designed to facilitate game theory research, simulation, and application across diverse domains. Whether you are a researcher, developer, or strategist, GameForge provides tools to model, analyze, and refine strategic interactions using a wide range of theoretical and computational approaches.

GameForge supports:

  • Classical Game Theory – Nash equilibria, mixed strategies, extensive and strategic forms.
  • Computational Game Theory – Algorithmic analysis, AI-driven game strategies, and equilibrium computation.
  • Behavioral Game Theory – Human decision-making biases, prospect theory, and bounded rationality.
  • Multi-Agent Systems & AI – Reinforcement learning, adaptive strategies, and agent-based modeling.
  • Metagaming & Dynamic Environments – Iterated play, evolving incentives, and external factors.

Features

1. Game Representation & Modeling

  • Extensive Form (game trees, sequential decisions, perfect/imperfect information)
  • Strategic Form (payoff matrices, simultaneous play)
  • Graph-Based & Hybrid Representations

2. Computational Analysis

  • Equilibrium Computation (Nash, correlated, evolutionary)
  • Algorithmic Strategy Optimization
  • Monte Carlo & Minimax Simulations

3. Behavioral & Psychological Modeling

  • Prospect Theory & Risk Preferences
  • Social Preferences & Fairness
  • Framing Effects & Decision Heuristics

4. Multi-Agent Systems & AI Integration

  • Reinforcement Learning Agents
  • Adaptive Strategy Learning
  • Agent-Based Modeling for Dynamic Environments

5. Game Length & Complexity Refinements

  • Finite vs. Infinite Horizon Adjustments
  • Endgame Scenarios & Tipping Points
  • Computational Complexity & Algorithmic Playability

6. Metagaming & External Incentives

  • Iterated Play & Reputation Systems
  • Policy & Regulatory Game Theory
  • Real-World Incentive Modeling

Installation

GameForge is in active development. Once released, it will be available via PyPI:

pip install gameforge

Metadata

Release files for gameforged 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gameforged 0.1.1
File Size Uploaded
gameforged-0.1.1.tar.gz 10.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gameforged 0.1.1
File Interpreter ABI Platform
gameforged-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 20.2 kB

Release files / gameforged-0.1.1.tar.gz

Download URL gameforged-0.1.1.tar.gz
Size 10.0 kB
Tags Source
SHA-256 checksum
How to use checksums
e13d861e1c182c96e1199fdb04f60d8fd8a2059cc2ca631fa8cec03d311b47fd
BLAKE2b-256 checksum
How to use checksums
27c39ebeca3e9f6b3f6329e59eee132a1648c18a6b9e997217623dcd13a6a907
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.1

Release files / gameforged-0.1.1-py3-none-any.whl

Download URL gameforged-0.1.1-py3-none-any.whl
Size 10.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a9a0e0e9fd3347d4e34d16e91364abc790fad58df3d40aaffc7e50919f0c2d9c
BLAKE2b-256 checksum
How to use checksums
eed014d4ba29aefe402c7522da7a77340567b1149413e1384fe0a2aa8adda942
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.1

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page