ACT-R is almost a Model of Primate Task Learning: Experiments in Modelling Transitive Inference
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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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.
|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|
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