Enables agents to proactively seek novel information, experiment with new approaches, and surface 'unknown unknowns' rather than optimize within a known solution space. Often realized with multi-agent setups emulating the scientific method — generate hypotheses, critique them, evolve the best. Use in open-ended, complex, or rapidly evolving domains where the solution space isn't defined.
