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)
| File | Size | Uploaded | |
|---|---|---|---|
| gameforged-0.1.1.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
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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 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
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