Strategic decision-making frameworks including Nash equilibria, imperfect information games, multi-agent reasoning, and theory of mind as applied to AI systems and real-world adversarial environments.
An LLM battle royale shows that aggressive models like Grok dominate competitive games while highly-aligned models like Claude prioritize cooperation, proving that benchmarks don't capture model personality.
Shift LLMs from next-token to next-state prediction by training in multi-agent, hidden-state environments so their outputs survive adversarial adaptation.
