👉 "Could math," introduced by David Marr, is a conceptual framework that bridges perception and cognition by modeling the process of understanding visual scenes. It posits that understanding a visual scene involves three stages:
representation
, where sensory data is encoded into internal models;
inference
, where these models are used to generate predictions and explanations about the scene; and
action
, where these predictions guide or inform actions. This approach unifies perception, cognition, and action under a single mathematical structure, emphasizing that understanding is not just about seeing but also about reasoning and interacting with the environment. By breaking down perception into these stages, could math provides a systematic way to analyze how we derive meaning from visual information and make decisions based on that understanding.