A stimulus-trace hypothesis for statistical learning theory.

Nonrandom stimulus sampling in statistical learning theory.

“…s Burke and Estes (1957), Witte (1959), and Straughan (1956) developed models incorporating noprandom stimulus sampling. The former two are discrimination learning models based on fading stimulus traces from prior reinforcing events, but provide no differential time predictions for the conditioning paradigm herein investigated.…”

Further Considerations on Testing the Null Hypothesis and the Strategy and Tactics of Investigating Theoretical Models.

“…That is, support for the empirical model came from acceptance of the null hypotheses. Other examples may be found in Binder and Feldman, 1960;Bower, 1962;Brody, 1958;Bush and Mosteller, 1955;Grant and Norris, 1946;Harrow and Friedman, 1958;Weinstock, 1958;and Witte, 1959. To facilitate future discussion it is convenient to refer to the procedure where acceptance of the null hypothesis leads to support for an empirical hypothesis as acceptance-support (o-j), and to the procedure where empirical support comes from rejection of the null hypothesis as rejection-support (r-s).…”

Conditional response probability in a T maze.

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In a previous study (Witte, 1959), a trace-fluctuation model derived from statistical learning theory was applied to choice behavior under sequentially dependent reward schedules. An adequate test of the theory was hampered by the large number of 5s with position preferences.

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“…If a nonnegligible value of (1-j)', the quantity representing the stimulus trace, spans more than one intertrial interval, Equation 1 must be expanded to handle traces from more remote events. Such an expansion has been done (Witte, 1959), and henceforth it will be referred to as Equation la.…”

“…The trace-fluctuation model was tested explicitly in a T maze study with rats (Witte, 1959). As trial spacing was increased from 8 sec.…”