A COMPETITION MODEL OF IRT DISTRIBUTIONS DURING THE 1ST TRAINING STAGES OF VARIABLE-INTERVAL SCHEDULE

A mathematical model based on the competition between neural networks is proposed. The model proposes that the neural network controlling the lever-pressing response during variable-interval schedules of reinforcement should compete with all other behavior-controlling networks. The network with the highest activity would be expressed as a behavior by a winner-take-all mechanism. This theoretical model fits the interresponse time distributions in 95% of cases at p < 0.05 significance level, and 100% of cases at p < 0.01, when tested with the Kolmogorov-Smirnoff test of goodness of fit. The model is discussed in psychological terms and possible generalizations are suggested.