A Test of Gibbon's Feedforward Model of Matching |
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Authors: | CR GallistelTerence A Mark Adam KingPeter Latham |
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Institution: | a University of California, Los Angelesb Department of Computer Science, Fairfield Universityc Department of Neurobiology, University of California, Los Angeles |
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Abstract: | Gibbon (1995) elaborated an ingenious model of matching, a feedforward model that is consistent with Heyman's (1982) suggestion that matching behavior does not depend on selection by consequences. Most models (for example, Herrnstein & Vaughan, 1980) have been feedback models, built on the law of effect. Measurements of how rapidly rats adjust to changes in the relative rates of brain stimulation reward on concurrent random interval schedules imply a feedforward process. The adjustments are, however, too fast to be consistent with Gibbon's model. |
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