Holographic declarative memory and the fan effect: A test case for a new memory module for ACT-R

Matthew A. Kelly, Kam Kwok, Robert L. West

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling
EditorsNiels A. Taatgen, Marieke K. van Vugt, Jelmer P. Borst, Katja Mehlhorn
PublisherUniversity of Groningen
Pages148-153
Number of pages6
ISBN (Electronic)9789036777636
StatePublished - 2015
Event13th International Conference on Cognitive Modeling, ICCM 2015 - Groningen, Netherlands
Duration: Apr 9 2015Apr 11 2015

Publication series

NameProceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling

Conference

Conference13th International Conference on Cognitive Modeling, ICCM 2015
CountryNetherlands
CityGroningen
Period4/9/154/11/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modeling and Simulation

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