Abstract
A computer simulation model for the learning behavior of a certain type of predator faced with a multipatch environment is constructed, where prey densities differ between patches and are functions of time. Simple stochastic models are first constructed to determine certain features of predator behavior; then it is argued on the basis of the data of Smith and Sweatman (1974) that the predator's patch-selection strategy is to alternate between the patch currently thought most profitable and a nonbest patch selected according to its profitability. The computer simulation agrees well with the experimental data of Smith and Sweatman.
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