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.
|Number of pages||6|
|Publication status||Published - 2004|
|Event||The 26th Annual Meeting of the Cognitive Science Society (CogSci 2004) - Chicago|
Duration: 1 Jan 2004 → …
|Conference||The 26th Annual Meeting of the Cognitive Science Society (CogSci 2004)|
|Period||1/01/04 → …|