A novel scoring and strategy system for board games (like Tic Tac Toe and beyond) that replaces traditional win conditions with vector control, potential ownership, and destruction mechanics.
Developed by Sibusiso Mahlangu in 2025, VPOD reimagines turn-based games using concepts of potential, strategic ownership, and resource decay.
- 🧭 Vectors as possible win paths
- 🎯 Position-based point scoring
- 💣 Vector destruction when contested
- 🧠 Emergent gameplay via system pressure and decay
- Base implementation of VPOD logic
- Dynamic scoring engine
- Support for 3x3, 4x4, 5x5 boards
- Vector tracking and scoring visualization
- Simple Greedy AI
- Minimax Algorithm
- MCTS (Monte Carlo Tree Search) Exploration
- AI Evaluation based on vector control metrics
- Adapt VPOD to larger strategy games
- Use VPOD to teach AI heuristic reasoning
- Apply VPOD to simulation modeling, war games, or resource control scenarios
We welcome developers, AI researchers, and theorists.
See CONTRIBUTING.md for how to get started.
MIT License — freely usable, forkable, and extensible.