Scalar Expectancy - History

History

John Gibbon originally proposed the scalar expectancy model, an extension of Weber's Law, as a quantitative model used to explain the temporally controlled behavior on non-human subjects. SET in its early version was primarily used to explain the break-run pattern, a common response pattern on fixed-interval reinforcement schedules. In a break-run pattern, an animal does not start responding to the stimulus upon representation. However, as the target duration approaches, the subject switches to a high rate of responding; this switch occurs at approximately two-thirds of the target duration.

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