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Thorne, David R. – Journal of the Experimental Analysis of Behavior, 2010
Various theoretical equations have been proposed to predict response rate as a function of the rate of reinforcement. If both the rate and probability of reinforcement are considered, a simple identity, defining equation, or "law" holds. This identity places algebraic constraints on the allowable forms of our mathematical models and can help…
Descriptors: Behavioral Science Research, Economics, Responses, Reinforcement
Locey, Matthew L.; Dallery, Jesse – Journal of the Experimental Analysis of Behavior, 2009
Many drugs of abuse produce changes in impulsive choice, that is, choice for a smaller-sooner reinforcer over a larger-later reinforcer. Because the alternatives differ in both delay and amount, it is not clear whether these drug effects are due to the differences in reinforcer delay or amount. To isolate the effects of delay, we used a titrating…
Descriptors: Mathematical Models, Reinforcement, Probability, Drug Abuse
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Machado, Armando; Rodrigues, Paulo – Journal of the Experimental Analysis of Behavior, 2007
Two experiments examined how pigeons differentiate response patterns along the dimension of number. In Experiment 1, 5 pigeons received food after pecking the left key at least N times and then switching to the right key (Mechner's Fixed Consecutive Number schedule). Parameter N varied across conditions from 4 to 32. Results showed that run length…
Descriptors: Item Response Theory, Probability, Mathematical Models, Animals
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McDowell, J. J. – Journal of the Experimental Analysis of Behavior, 2004
Darwinian selection by consequences was instantiated in a computational model that consisted of a repertoire of behaviors undergoing selection, reproduction, and mutation over many generations. The model in effect created a digital organism that emitted behavior continuously. The behavior of this digital organism was studied in three series of…
Descriptors: Reinforcement, Models, Intervals, Behavior