Effect of unconstrained prompting on Level 2 mechanism discovery

Determine whether Level 2, when prompted without explicit domain suggestions, would autonomously discover mechanisms that are equally effective or qualitatively different compared to those found under the guided prompt specifying candidate domains such as combinatorial optimization, reinforcement learning, evolutionary algorithms, and Bayesian optimization.

Background

In the reported experiments, the Level 2 prompt explicitly suggested candidate domains for mechanism ideas (e.g., combinatorial optimization and reinforcement learning). This guidance likely helped prevent irrelevant or degenerate proposals but may have constrained the space of mechanisms discovered.

The authors explicitly state that it remains untested whether Level 2 would discover mechanisms of similar or different efficacy without such domain guidance, leaving open the question of how unconstrained prompting affects mechanism discovery and performance.