Totally Model-Free Learned Skillful Coping
Bibliographic Data
| ID | 20360993 |
|---|---|
| Authors | Stuart E Dreyfus (0000-0002-2347-2022, University of California, Berkeley, corresponding author) |
| Year | 2004 |
| Volume | 24 |
| Issue | 3 |
| Pages | 182-187 |
| Publication date | 2004-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of Science Technology & Society (JOURNAL) |
| Journal identifiers | ISSN: 0270-4676 • E-ISSN: 1552-4183 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0270467604264813 |
| OpenAlex | W1963839186 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
The author proposes a neural-network-based explanation of how a brain might acquire intuitive expertise. The explanation is intended merely to be suggestive and lacks many complexities found in even lower animal brains. Yet significantly, even this simplified brain model is capable of explaining the acquisition of simple skills without developing articulable rules for behavior or a model of the skill domain or an explicit identification of which observables in the environment are necessary for skillful behavior. Furthermore, no memories of prior experiences during the learning phase are explicitly stored and accessed during behavior. The explanation thus calls into doubt many conventional and intuitively reasonable assumptions concerning the learning and production of intuitive expertise
Cognitive psychology · Cognitive science · Epistemology · Computer Science · Mathematics · Memory and Neural Mechanisms · Neural dynamics and brain function · Neural Networks and Applications · Psychology · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |