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C. Kuhlman

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Preprint Jul 2026

An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery

An experimental design and analysis framework for systematically evaluating this discovery process, quantifying its variability, and identifying important factors is proposed and demonstrated on a testbed of networked word-forming games with insightful findings on reasoning effort with respect to cost and process complexity.

Hao He, Xueying Liu, C. Kuhlman et al. · 0 citations

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