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

被引：0
|
作者：
Wood, Mark A. [1 ]
Leong, Jonathan C. S. [1 ]
Bryson, Joanna J. [1 ]
机构：
[1] Univ Bath, Dept Comp Sci, Bath BA2 7AY, Avon, England
来源：
PROCEEDINGS OF THE TWENTY-SIXTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY | 2004年
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：1470 / 1475
页数：6
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