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.
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Oltramari, A., Lebiere, C. (2011). Extending Cognitive Architectures with Semantic Resources. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_23
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DOI: https://doi.org/10.1007/978-3-642-22887-2_23
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