Assessment of the Rescorla-Wagner model
Bibliographic Data
| ID | 4425927 |
|---|---|
| Authors | Ralph R Miller (0000-0002-1778-4839, Binghamton University), Robert C Barnet, Nicholas J Grahame (0000-0003-3279-2279) |
| Year | 1995 |
| Volume | 117 |
| Issue | 3 |
| Pages | 363-386 |
| Publication date | 1995-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.117.3.363 |
| PMID | 7777644 |
| OpenAlex | W2042233841 |
| Language | EN |
| Citations received | 28 |
| References cited | 5 |
The Rescorla-Wagner model has been the most influential theory of associative learning to emerge from the study of animal behavior over the last 25 years. Recently, equivalence to this model has become a benchmark in assessing connectionist models, with such equivalence often achieved by incorporating the Widrow-Hoff delta rule. This article presents the Rescorla-Wagner model's basic assumptions, reviews some of the model's predictive successes and failures, relates the failures to the model's assumptions, and discusses the model's heuristic value. It is concluded that the model has had a positive influence on the study of simple associative learning by stimulating research and contributing to new model development. However, this benefit should neither lead to the model being regarded as inherently "correct" nor imply that its predictions can be profitably used to assess other models
Animal learning · Artificial neural network · Associative learning · Associative property · Cognitive psychology · Connectionism · Econometrics · Equivalence (formal languages) · Animal Behavior and Reproduction · Artificial Intelligence · Computer Science · Heart Failure Treatment and Management · Mathematics · Memory and Neural Mechanisms · Neuroendocrine regulation and behavior · Psychology · Sepsis Diagnosis and Treatment · Stress and Burnout Research
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Conditioning and LearningSupport for the preparation of this chapter was provided by Nimh Grant 33881. Communication concerning this chapter should be addressed to Ralph R. Miller, Department of Psychology, Suny‐Binghamton, Binghamton, NY 13902–6000, USA; [email protected].
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| Unique citing works | 27 |
|---|---|
| Citations per year | 0,97 |
| Citation span | 1997 - 2025 (29) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 24 |