When AI Plays Lawmaker: Lessons from NomicLaw’s Multi-Agent Debates
When AI Plays Lawmaker: Lessons from NomicLaw’s Multi-Agent Debates Large Language Models are increasingly touted as decision-making aides in policy and governance. But what happens when we let them loose together in a legislative sandbox? NomicLaw — an open-source multi-agent simulation inspired by the self-amending game Nomic — offers a glimpse into how AI agents argue, form alliances, and shape collective rules without human scripts. The Experiment NomicLaw pits LLM agents against legally charged vignettes — from self-driving car collisions to algorithmic discrimination — in a propose → justify → vote loop. Each agent crafts a legal rule, defends it, and votes on a peer’s proposal. Scoring is simple: 10 points for a win, 5 for a tie. Two configurations were tested: ...