Cue Competition Effects
Theoretical Implications for Adaptive Network Learning Models
Bibliographic Data
| ID | 7524875 |
|---|---|
| Authors | Jerome R Busemeyer (0000-0002-7594-1871, Purdue University, corresponding author), In Jae Myung (The Ohio State University), Mark A Mcdaniel (0000-0003-4999-5531, Purdue University) |
| Year | 1993 |
| Volume | 4 |
| Issue | 3 |
| Pages | 196-202 |
| Publication date | 1993-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Science (JOURNAL) |
| Journal identifiers | ISSN: 0956-7976 • E-ISSN: 1467-9280 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1111/j.1467-9280.1993.tb00487.x |
| OpenAlex | W2166700064 |
| Language | EN |
| References cited | 26 |
A feature-free method for testing adaptive network learning models is presented. The test is based on a property called the mean matching law, a. property shared by many adaptive network models of learning. As an application of this method, we prove that cue competition effects obtained with statistically independent cues cannot be explained by many previous adaptive network learning models, including those based on the delta learning rule. These results point to the need to incorporate competitive learning properties into adaptive network learning models
Adaptive behavior · Adaptive Learning · Cognitive psychology · Competition (biology · Feature (linguistics · Machine learning · Matching (statistics · Network model · Point (geometry · Property (philosophy · Statistics · Computer Science · Cooperative Communication and Network Coding · Game Theory and Applications · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Psychology · Artificial Intelligence
| Highly cited | No |
|---|