Abstract
A local diffusion model (Staddon and Reid, 1990) can reproduce exponential and Gaussian stimulus-generalization gradients. We show that a two-dimensional diffusion model, together with simple reinforcement assumptions, can reproduce many of the empirical properties of goal-directed spatial search, including area-restricted search, open-field foraging, barrier and detour problems, maze learning and spatial “insight.” The model provides a simple, associationistic “reader” for Tolman's cognitive map.
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