| Autor: |
Peggy J. Jennings, Steven W. Keele |
| Rok vydání: |
1991 |
| Předmět: |
|
| DOI: |
10.1016/b978-1-4832-1448-1.50030-5 |
| Popis: |
This paper presents a computational model of attentional requirements in sequence learning. Cohen, et al. proposed two fundamental operations in sequence learning. An associative mechanism mediates learning of patterns with unique associations (1-5-4-2-3). These associations do not require attention to be learned. Such an associative mechanism is poorly suited for learning sequences with repeated elements and ambiguous associations (3-1-2-1-3-2). These sequences must be parsed and organized in a hierarchical manner. This hierarchical organization requires attention. The simulations reported in this paper were run on an associative model of sequence learning developed by Jordan (1986). The simulations modeled closely the keypressing task used by Cohen, Ivry and Keele (1990). The simulations replicate the empirical findings, and suggest that imposing hierarchical organization on sequences with ambiguous associations significantly improves the model's ability to learn those sequences. Implications for the analysis of fundamental computations underlying a system of skilled movement are discussed. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
