Deconstructing and reconstructing ACT-R: Exploring the architectural space
TC Stewart, RL West - Cognitive Systems Research, 2007 - Elsevier
Evaluating variations in the structure of computational models of cognition is as important as
evaluating variations in the numerical parameters of such models. However, computational …
evaluating variations in the numerical parameters of such models. However, computational …
An accumulator model of semantic interference
L Van Maanen, H Van Rijn - Cognitive Systems Research, 2007 - Elsevier
To explain latency effects in picture-word interference tasks, cognitive models need to
account for both interference and stimulus onset asynchrony (SOA) effects. As opposed to …
account for both interference and stimulus onset asynchrony (SOA) effects. As opposed to …
Long-term symbolic learning
WG Kennedy, JG Trafton - Cognitive Systems Research, 2007 - Elsevier
What are the characteristics of long-term learning? We investigated the characteristics of
long-term, symbolic learning using the Soar and ACT-R cognitive architectures running …
long-term, symbolic learning using the Soar and ACT-R cognitive architectures running …
[PDF][PDF] Cognitive redeployment in ACT-R: Salience, vision, and memory
TC Stewart, RL West - 8th International Conference …, 2007 - iccm-conference.neocities.org
Cognitive redeployment is the idea that an important part of the evolution of cognition is the
adaptation and re-use of existing cognitive modules for new purposes. In this paper, we …
adaptation and re-use of existing cognitive modules for new purposes. In this paper, we …