Learn Before
Rescorla-Wagner Model
Developed by Robert Rescorla and Allan Wagner, the Rescorla-Wagner model is a mathematical formula used in learning theory. It calculates the likelihood that an association will be formed between a conditioned stimulus and an unconditioned stimulus. The model's calculation is based on factors such as the ability of the CS to predict the occurrence of the UCS.
0
1
Tags
Ch.6 Learning - Psychology @ OpenStax
Psychology @ OpenStax
Introduction to Psychology @ OpenStax Course
OpenStax
OpenStax Psychology (2nd ed.) Textbook
Psychology
Social Science
Empirical Science
Science
Related
Rescorla-Wagner Model
Example of Predictability in Conditioning: Consistent vs. Inconsistent Dinner Times
Two researchers are training pigeons to peck a key for a food reward. Researcher A's setup delivers a food pellet every single time a green light flashes. Researcher B's setup also flashes a green light before delivering a food pellet, but it also flashes the green light frequently at other times when no food is delivered. After many trials, which outcome is most likely?
A researcher is conducting two separate experiments to condition a rat to freeze in response to a tone. In Experiment A, the tone is sounded for 5 seconds, and a mild electric shock is delivered immediately after the tone ends. This pairing occurs consistently every time. In Experiment B, the tone is also sounded for 5 seconds, but the shock is delivered randomly—sometimes during the tone, sometimes minutes after, and sometimes not at all. Based on the principles of how associations are formed, what is the most likely outcome?