TY - GEN
T1 - Holographic declarative memory and the fan effect
T2 - 13th International Conference on Cognitive Modeling, ICCM 2015
AU - Kelly, Matthew A.
AU - Kwok, Kam
AU - West, Robert L.
N1 - Funding Information:
This research is supported by an Ontario Graduate Scholarship awarded to the first author and a grant from the National Science and Engineering Research Council of Canada to the third author.
Publisher Copyright:
© Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling.
PY - 2015
Y1 - 2015
N2 - We present Holographic Declarative Memory (HDM), a new memory module for ACT-R and alternative to ACT-R's Declarative Memory (DM). ACT-R is a widely used cognitive architecture that models many different aspects of cognition, but is limited by its use of symbols to represent concepts or stimuli. HDM replaces the symbols with holographic vectors. Holographic vectors retain the expressive power of symbols but have a similarity metric, allowing for shades of meaning, fault tolerance, and lossy compression. The purpose of HDM is to enhance ACT-R's ability to learn associations, learn over the long-term, and store large quantities of data. To demonstrate HDM, we fit performance of an ACT-R model that uses HDM to a benchmark memory task, the fan effect. We analyze how HDM produces the fan effect and how HDM relates to the standard DM model of the fan effect.
AB - We present Holographic Declarative Memory (HDM), a new memory module for ACT-R and alternative to ACT-R's Declarative Memory (DM). ACT-R is a widely used cognitive architecture that models many different aspects of cognition, but is limited by its use of symbols to represent concepts or stimuli. HDM replaces the symbols with holographic vectors. Holographic vectors retain the expressive power of symbols but have a similarity metric, allowing for shades of meaning, fault tolerance, and lossy compression. The purpose of HDM is to enhance ACT-R's ability to learn associations, learn over the long-term, and store large quantities of data. To demonstrate HDM, we fit performance of an ACT-R model that uses HDM to a benchmark memory task, the fan effect. We analyze how HDM produces the fan effect and how HDM relates to the standard DM model of the fan effect.
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M3 - Conference contribution
AN - SCOPUS:85010762393
T3 - Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling
SP - 148
EP - 153
BT - Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling
A2 - Taatgen, Niels A.
A2 - van Vugt, Marieke K.
A2 - Borst, Jelmer P.
A2 - Mehlhorn, Katja
PB - University of Groningen
Y2 - 9 April 2015 through 11 April 2015
ER -