Representing objects and concepts as points in low-dimensional shape s
pace defined by distances to other complete object exemplars or protot
ypes, expressed as single numbers, misses the key advantages of repres
entation in terms of hierarchically constructed, meaningful features o
f the environment. Generalisation along statistically significant, nea
r-independent, sparse, cooperative features that stand directly for va
rious aspects of a concept is essential.