AI and Human Approaches to Mathematical Problem Solving
AI systems have begun to report solutions, disproofs, and substantive advances on long-standing mathematical problems, raising questions about whether they approach research in the same way as mathematicians. This study compares public AI research accounts with the human literature on 11 such problems. The human corpus contains 58 papers that directly addressed the same mathematical targets later reported by AI sources as resolved, disproved, or substantially advanced; 31 within-problem comparisons were constructed from these materials. Six validated text-based measures capture problem resolution, method articulation, uncertainty and boundary specification, successor-question generation, ...
| Authors | Yang Ding |
|---|---|
| Primary category | cs.CY |
| Published | 15 September 2026 |
| Last updated at source | 15 September 2026 |
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