Our team name is Cenedril. Our track is Wargaming. Our members are: -Alex Ditzel -Henry Blanchette -Chaoqian Huang
Digital war game simulator based on RAND Corporation's "Hedgemony". This project translates complex tabletop rules into an automated engine powered by large language models.
Put credentials into .env:
VITE_OPENAI_API_KEY="sk-proj-..."
Then run the project as a locally hosted web app:
npm install
npm run start
We implemented a digital version of the professional wargaming system Hedgemony. It automates the complex rulebook and adjudication processes.
- Project.
- Digital.
- Simulator.
- Source.
- RAND.
- Hedgemony.
- Goal.
- Automation.
- Adjudication.
Our system uses advanced AI to bridge the gap between human intent and formal game rules. It enables real-time scenario generation using live intelligence data.
- Intelligence.
- LLM.
- Adjudication.
- Automated.
- Data.
- OSINT.
- Real-time.
- Up-to-date.
- Translation.
- Intent.
- Structured.
- Rules.
- Velocity.
- Rapid.
- Scenarios.
- Seconds.
The engine is built with a robust TypeScript foundation and exhaustive rule encoding. Autonomous agents play specialized roles to maintain simulation integrity.
- Engine.
- TypeScript.
- Exhaustive.
- Rules.
- Agents.
- White cell.
- Red cell.
- Autonomous.
- Generation.
- Automated.
- Cards.
- Stats.
This tool allows for rapid strategic exploration and tighter feedback loops for commanders. It serves as a scalable pedagogical resource for modern warfare education.
- Strategy.
- Exploration.
- Feedback.
- Loops.
- Pedagogy.
- Learning.
- Experiments.
- Refinement.
- Efficiency.
- Faster.
- Cheaper.
- Scalable.
These sources informed the design of the Iran War scenario, along with general LLM-assisted deep research: