Abstract
This study investigated the use of state-trace analysis (Bamber,
1979) when applied to computational models of human learning.
We aimed to investigate the performance of simple recurrent
networks (SRNs) on a sequence learning task. Elman’s (1990)
SRN and Cleeremans & McClelland’s (1991) Augmented SRN are
both benchmark models of human sequence learning. The
differences between these models, comprising of an additional
learning parameter and the use of response units activated by
output units constituted our main manipulation. The results are
presented as a state-trace analysis, which demonstrates that the
addition of an additional type of weight component, and response
units to a SRN produces multi-dimensional state-trace plots.
However, varying the learning rate parameter of the SRN also
produced two functions on a state-trace plot, suggesting that state-trace analysis may be sensitive to variation within a single process.
1979) when applied to computational models of human learning.
We aimed to investigate the performance of simple recurrent
networks (SRNs) on a sequence learning task. Elman’s (1990)
SRN and Cleeremans & McClelland’s (1991) Augmented SRN are
both benchmark models of human sequence learning. The
differences between these models, comprising of an additional
learning parameter and the use of response units activated by
output units constituted our main manipulation. The results are
presented as a state-trace analysis, which demonstrates that the
addition of an additional type of weight component, and response
units to a SRN produces multi-dimensional state-trace plots.
However, varying the learning rate parameter of the SRN also
produced two functions on a state-trace plot, suggesting that state-trace analysis may be sensitive to variation within a single process.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 34th Annual Meeting of the Cognitive Science Society |
| Editors | Naomi Miyake, David Peebles, Richard P. Cooper |
| Place of Publication | Austin, Texas |
| Publisher | Cognitive Science Society |
| Pages | 2581-2586 |
| Number of pages | 7 |
| ISBN (Print) | 9780976831884 |
| Publication status | Published - Aug 2012 |
| Externally published | Yes |
| Event | 34th Annual Meeting of the Cognitive Science Society - Sapporo, Japan Duration: 1 Aug 2012 → 4 Aug 2012 |
Academic conference
| Academic conference | 34th Annual Meeting of the Cognitive Science Society |
|---|---|
| Country/Territory | Japan |
| City | Sapporo |
| Period | 1/08/12 → 4/08/12 |