Stochastic learning theories for a response continuum with non-determinate reinforcement

Continuous analogues of the finite linear and stimulus sampling theories are developed for non-determinate reinforcement schedules. Closed-form expressions are derived for the asymptotic response distribution and certain sequential statistics. Computations for a target experiment are given to illustrate the character of the theoretical results.This research was supported by the Rockefeller Foundation and the Group Psychology Branch of the Office of Naval Research.