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Our team name is Cenedril. Our track is Wargaming. Our members are: -Alex Ditzel -Henry Blanchette -Chaoqian Huang

Hedgemony-Sim

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.

Running

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

Overview

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.

Novelty

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.

Technical Core

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.

Impact

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.

Sources

These sources informed the design of the Iran War scenario, along with general LLM-assisted deep research:

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