Computational behavior dynamics: an alternative description of Nevin (1969).
A computational processing behavior-dynamic model was instantiated in the form of a computer program that "behaved" on the task developed by Nevin (1969). In this classic discrete-trials experiment, the relative frequency of choosing a response alternative matched the relative frequency of reinforcement for that alternative, the local structure of responding was opposite that predicted by momentary maximizing (i.e., the probability of a changeover decreased with run length), and absolute and relative response rates varied independently. The behavior-dynamic model developed here qualitatively reproduced these three results (but not in quantitative and specific detail) and also generated some interesting, as-yet-untested predictions about performance in Nevin's task. The model was discussed as an example of a stochastic behavior-dynamic alternative to algebraic behavior theory.
Shimp
C P
CP
University of Utah.
D000818:Animals; D001070:Appetitive Behavior; D001245:Association Learning; D010856:Columbidae; D003198:Computer Simulation; D004193:Discrimination Learning; D015233:Models, Statistical; D012055:Reinforcement Schedule; D013269:Stochastic Processes