A component model for stimulus variables in discrimination learning
ISSN: |
1860-0980
|
---|---|
Source: |
Springer Online Journal Archives 1860-2000
|
Topics: |
Psychology
|
Notes: |
Abstract A general function is derived describing the conditioning of a single stimulus component in a discriminative situation. This function, together with the combinatorial rules of statistical learning theory [5, 12], generates empirically testable formulas for learning of classical two-alternative discriminations, probabilistic discriminations, and discriminations based on the outcomes of preceding trials in partial reinforcement experiments.
|
Type of Medium: |
Electronic Resource
|
URL: |