AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture

Excerpt

arXiv:2603.22561v2 Announce Type: replace Abstract: This paper asks whether a bounded neural architecture can exhibit a meaningful division of labor between intuition and deliberation on a classic 64-item syllogistic reasoning benchmark. More broadly, the benchmark is relevant to ongoing debates about world models and multi-stage reasoning in AI. It provides a controlled setting for testing whether a learned system can develop structured internal computation rather than only one-shot associative