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Yingtao Tian

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Preprint Aug 2026

CEDAR: Agent-Orchestrated Tree Search for Goal-Directed Optimization of Complex Systems

CEDAR is an autonomous method that uses Large Language Model agents to discover complex systems satisfying user-specified behavioral goals, enabling goal-directed discovery of complex system behaviors while preserving solution diversity, and its LLM-based interpretability reveals how structural changes drive emergent behavior.

Yingtao Tian · 0 citations

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