Extending Cognitive Architectures with Semantic Resources

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.

• Type: Journal
• Year: 2011
• Where: AGI
• Authors: Alessandro Oltramari, Christian Lebiere
• Keywords: AGI 2011, Artificial Intelligence, Declarative Representations, Implementation Examples, Retrieval Mechanisms