Discrete-component representations provide a good description of:
A) the generalization gradient.
B) how animals learn negative patterning.
C) learning about highly dissimilar stimuli.
D) configural learning in categorization.

Question

Quizplus · Accepted Answer

Discrete-component representations are effective in describing learning about highly dissimilar stimuli because they treat each stimulus as a separate entity, which aligns well with situations where stimuli do not share common features.

Discrete-Component Representations Provide a Good Description Of