GAMA uses LLM agents to turn natural language game descriptions into validated executable logic programs, reaching about 77% semantic correctness on 110 scenarios from five 2x2 games.
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Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios
GAMA uses LLM agents to turn natural language game descriptions into validated executable logic programs, reaching about 77% semantic correctness on 110 scenarios from five 2x2 games.