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- W2042812773 abstract "Abstract In a process that involves learning through the presentation of stimulus items in a sequence controlled by the experimenter or teacher, it is of interest to determine stimulus presentation strategies that optimize the expected level of achievement of the subjects. We consider an N-trial experiment in which, at each trial, a stimulus item is chosen for presentation from among a given set of n items. The learning model used is the single-element model of the stimulus-sampling theory of learning. A strategy is evaluated by an expected loss over terminal states of the subject. The single trial “locally optimal” strategy is the one that chooses in the current trial that item which would minimize the expected loss at the end of that trial. Our main result is that this strategy is in fact “globally optimal”; this strategy chooses in each trial that item for which the current probability of being in the learned state is the least. In addition we show, for the case of presentations from a set of two stimulus items, how to determine domains of common optimal strategies in the space of pairs of initial probabilities that the two items have been learned." @default.
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- W2042812773 date "1966-02-01" @default.
- W2042812773 modified "2023-09-25" @default.
- W2042812773 title "Optimal stimulus presentation strategy for a stimulus sampling model of learning" @default.
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- W2042812773 doi "https://doi.org/10.1016/0022-2496(66)90003-4" @default.
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