Limit Theorems for Additive Learning Models ]
نویسنده
چکیده
In the learning models considered, the events that occur on successive trials act additively. New derivations are given of a criterion for recurrence or transience of response probability, and a formula for the asymptotic response frequency in the recurrent case. It is shown that there are stationary probability distributions in the recurrent case, and that they are approximately normal with small variance when learning occurs by small steps.
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تاریخ انتشار 2003