josephmqiu

josephmqiu / game-theory-model

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A desktop game-theory analysis workspace for evidence-backed modeling, workflow-guided review, and AI-assisted strategic analysis.

74
13
100% credibility
Found Apr 02, 2026 at 74 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A desktop app that enables AI-assisted game theory analysis of real-world events, visualizing structured insights as interactive entity graphs on a canvas.

How It Works

1
🔍 Find the Game Theory Helper

You hear about a simple desktop app that helps understand tricky real-world decisions like negotiations or competitions using smart AI.

2
📥 Download and Open It

Grab the app for your computer, install it like any program, and launch to see a welcoming canvas ready for your ideas.

3
🔗 Link Your AI Friend

Connect a helpful AI like Claude so it can chat with you and build smart diagrams about strategies.

4
💬 Chat About a Situation

Type in a real-world puzzle, like a trade dispute, and watch the AI think step-by-step while drawing connections on the canvas.

5
🖼️ See the Strategy Map Grow

An interactive graph appears showing players, goals, games, and outcomes—zoom, drag, and explore to understand the big picture.

6
✏️ Tweak and Add Notes

Click entities to edit, add your thoughts, or ask the AI to refine parts of the analysis right on the canvas.

💾 Save and Share Your Insight

Export your complete analysis as a file to revisit later or share with friends for collaborative strategy discussions.

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Star Growth

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AI-Generated Review

What is game-theory-model?

Game-theory-model is a TypeScript desktop app (Electron-based) that lets you analyze strategic situations like negotiations or policy decisions through AI-assisted game theory modeling. Chat about a real-world scenario, and it runs a multi-phase workflow to extract players, payoffs, equilibria, and scenarios, visualizing everything as an interactive entity graph on a Skia-powered canvas. Save analyses as .gta files for sharing, with Docker support for Linux, macOS, or Ubuntu desktops downloadable straight from GitHub.

Why is it gaining traction?

It combines Claude or Codex AI with a structured methodology for evidence-backed game theory models—think payoff matrices and equilibrium analysis without manual spreadsheets—delivered in a local-first desktop GitHub client that feels like GitHub Copilot for strategy. The canvas turns abstract interdependence of oligopolists' strategies into draggable graphs, plus web search for real data in public policy examples. At 74 stars, it's niche but hooks devs wanting AI-assisted game theory modeling over chat-based guesswork.

Who should use this?

Strategic analysts modeling game theory examples like trade wars or oligopoly pricing, policy wonks applying game theory models to public policy, or researchers classifying games by MCQ-style numerical methods. Ideal for anyone tired of static tools for sequential or repeated games—frontend-heavy teams get React canvas viz, backend folks Docker deploys.

Verdict

Promising for ai-assisted game theory model matrix work, with strong README, builds for desktop GitHub macOS/64-bit/Linux, and smoke tests signaling maturity. But 1.0% credibility and 74 stars mean it's early—test on simple bilateral games before production policy modeling.

(198 words)

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