Human memory systems: A framework for understanding the neurocognitive foundations of intuition

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

3 Scopus citations

Abstract

A neurocomputational framework is described for characterizing how intuitive and deliberate processing are accomplished in the human brain. The framework is derived from memory systems theory and supported by research findings on contrasts between implicit versus explicit (nonconscious versus conscious) memory. Implicit intuition and deliberate deduction depend on separate types of memory supported by distinct brain networks. For optimal decision making, training should be designed to accommodate the operating characteristics of both types of memory. Furthermore, reliance on explicit memory can inhibit the use of implicit intuition, so training must facilitate effective interactions between the two types of mechanism. To aid investigations of these effects, we introduce a Mixture-of-Experts model that characterizes the interaction between memory systems - the PINNACLE model (Parallel Interacting Neural Networks Competing in Learning). This model captures the separate neural networks that reflect implicit and explicit processing, as well as their interaction, and it can thus guide the development of training approaches to maximize the benefits of concurrent use of both intuition and deliberation in decision making.

Original languageEnglish (US)
Title of host publicationFoundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings
Pages474-483
Number of pages10
DOIs
StatePublished - Oct 7 2013
Event7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8027 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

Keywords

  • cognitive modeling
  • cognitive neuroscience
  • decision making
  • explicit
  • implicit
  • Intuition
  • memory systems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Reber, P. J., Beeman, M., & Paller, K. (2013). Human memory systems: A framework for understanding the neurocognitive foundations of intuition. In Foundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings (pp. 474-483). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8027 LNAI). https://doi.org/10.1007/978-3-642-39454-6_51