EBRWExemplar-Based Random Walk
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In the EBRW model, when an item i is presented, it sets off a race among all exemplars stored in the memory.
Nosofsky and Palmeri's (1997) EBRW model draws on Logan's (1988) Instance-Based Model of Automaticity, which is, however, identity-based.
EBRW works by sequentially retrieving exemplars from memory that are fed into a diffusion decision procedure that settles on a classification when evidence for category membership crosses a decision boundary.