Abstract
This paper presents an integrated modeling framework where the learning and knowledge retrieval mechanisms of the ACT-R cognitive architecture are combined with a semantic resource. We aim to extend ACT-R with a scalable knowledge model, in order to support sub-symbolic processes with consistent, general high-level declarative representations. Design principles, methodology and implementation examples are provided. © 2011 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Oltramari, A., & Lebiere, C. (2011). Extending cognitive architectures with semantic resources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6830 LNAI, pp. 222–231). https://doi.org/10.1007/978-3-642-22887-2_23
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