Symbol Grounding Problem

A foundational problem in cognitive science and AI concerning how purely symbolic systems can give symbols meaning that refers to the real world. Formally proposed by Stevan Harnad in 1990, its core point is that defining symbols only in terms of one another leads to infinite regress, so symbols must ultimately be grounded through non-symbolic sensorimotor representations.