PSY 0422 Lecture Notes - Lecture 20: Eleanor Rosch, Auto Racing, Laziness
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Representation consists of separate (disjunctive) descriptions of some of its exemplars. Explicitly disjunctive - can use different information for different classifications. Dog: {collies} or {spaniels} or {fido} or Using example representation to generate a prediction/guess for a category. Based on that category description to make a prediction. Can predict influences of influences of frequency (the number of time you seen an object), variability (capture of the variability we can see), correlation of features. Item 1 - raccoon; paint it black, paint a white stripe on its back. Could it be a skunk? no, still racoon. Operate: put super smelly yucky stuff in its tail. A racoon dresses as a skunk wouldn"t serve what a skunk should look like/should be. Item 2 - coffee pot; punch holes in it, pull off spout, hang from tree, fill with bird seed. What is it? germ; positive feedback loop. Going beyond the similarity of observable features.