Generalization gradient: p_gauss(d) = exp(−d²/2σ²); p_shep(d) = exp(−d/σ); metric-space-dependent

Generalization gradient — the canonical framework for how organisms generalise learned responses from a training stimulus to novel test stimuli as a function of stimulus-space distance d. Physical setup: after a subject learns to respond…