game-theoretic-analysis
Game-Theoretic Analysis
Core principle: When multiple agents interact and each agent's outcome depends on the choices of others, you have a game. Understanding the game's structure — who the players are, what strategies they have, what payoffs result, and what equilibria emerge — is the only reliable way to predict behavior and design systems where rational self-interest produces good outcomes.
When to Use This Skill
Trigger whenever:
- Multiple agents (people, teams, companies, AI agents) interact and their choices affect each other's outcomes
- Incentive misalignment is suspected — the system should work but doesn't because participants optimize locally
- Designing rules, protocols, scoring systems, or allocation mechanisms
- Cooperation is needed but not happening (or is fragile)
- Negotiation strategy is being planned
- Multi-agent AI systems are being designed, debugged, or evaluated
- A "tragedy of the commons" pattern is observed (shared resources degrading)
- Someone asks "why would they do X?" where X seems irrational — it's probably rational given their payoffs
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