Quantitative analysis of behavior
Quantitative analysis of behavior is the application of mathematical models--conceptualized from the robust corpus of environment-behavior-consequence interactions in published behavioral science--to the experimental analysis of behavior. The aim is to describe and/or predict relations between varying levels of 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.
The field has integrated models from
Rescorla-Wagner model, matching law, melioration, scalar expectancy, signal detection, neural hysteresis, and reinforcement control
.
Concepts and models
- Matching law
- Rate of response
- Rate of reinforcement
- Mathematical principles of reinforcement
- Behavioral momentum
- Quantitative psychology
References
- Herrnstein, R. J. (1961). Relative and absolute strength of response as a function of frequency of reinforcement. Journal of the Experimental Analysis of Behavior, 4, 267-272.
- Herrnstein, R. J. (1970). On the law of effect. Journal of the Experimental Analysis of Behavior, 13: 243-266.