A metacognitive classifier using a hybrid ACT-R/leabra architecture
Yury Vinokurov, Christian J. Lebiere, Seth A. Herd, Randall C. O’Reilly · National Conference on Artificial Intelligence · 2011
We present a metacognitive classifier implemented within a hybrid architecture that combines the strengths of two existing, mature cognitive architectures: ACT-R and Leabra. The classification of a set of items into previously seen and novel categories (TRAIN and TEST, respectively) is carried out in ACT-R using metacognitive signals supplied by Leabra. The resulting system performance is analyzed as a function of various architectural parameters, and future directions of research are discussed.