ACT-R is almost a Model of Primate Task Learning: Experiments in Modelling Transitive Inference
Reference:
Wood, M. A., Leong, J. C. S. and Bryson, J. J., 2004. ACT-R is almost a Model of Primate Task Learning: Experiments in Modelling Transitive Inference. In: The 26th Annual Meeting of the Cognitive Science Society (CogSci 2004), 2004-01-01, Chicago.
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Abstract
We present a model of transitive inference (TI) using ACT-R which strengthens the hypothesis that TI is not dependent on underlying sequential ordering of stimuli, but rather on the learning of productions. We nevertheless find a weakness in the ACT-R sub-symbolic learning system and suggest improvements.
Details
| Item Type | Conference or Workshop Items (Paper) |
| Creators | Wood, M. A., Leong, J. C. S. and Bryson, J. J. |
| Departments | Faculty of Science > Computer Science |
| Refereed | Yes |
| Status | Published |
| ID Code | 5434 |
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