Tal Boger

Dubova and Sloman’s framework assumes that representations trade fidelity for complexity. However, a species of representation prevalent in both minds and machines — lossless compression — enables perfect recovery while taking on a minimal structure with rich symbols. This form of representation crosscuts the proposed capacity regimes, reveals a challenge of reverse inference, and highlights a missing piece of the capacity puzzle.