Quantitative analysis of behavior is the application of mathematical models to the experimental analysis of behavior. The aim is to describe and/or predict relations between independent environmental variables and dependent behavioral variables. The parameters in the models hopefully have theoretical meaning beyond their use in fitting models to data. The field was founded by Richard Herrnstein (1961) when he introduced the matching law to quantify the behavior of organisms working on concurrent schedules of reinforcement.
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