Independent researcher working on agents in game-theoretic settings, systematic ideation, and evolutionary algorithms.
- agents in repeated and one-shot games (synthetic and semi-synthetic environments)
- Behavioral game theory and learning-in-games dynamics
- Mechanism design and market-microstructure questions where agent behavior matters
- Methodology: how do you evaluate whether automated research systems produce findings worth taking seriously?
Building a self-hosted research apparatus that combines a local LLM, multi-agent orchestration, and a literature pipeline to run game-theoretic experiments end-to-end. Phase 1 (90 days) is alignment and apparatus build; first public preprint expected ~Day 90.
- ORCID: [https://orcid.org/0009-0004-0272-9927]
- Contact: [decross1@gmail]
Public code repositories from this work will be released as components reach stability.