Assessing the role of metacognition in GMU BICA

Michael Q. Kalish, Alexei V. Samsonovich, Mark A. Coletti, Kenneth A. De Jong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

GMU BICA is a biologically inspired cognitive architecture developed at George Mason University. Its main distinguishing feature is a system of data structures called "mental states" that enables various forms of metacognition. The present study develops an understanding of the role of metacognition during working scenario generation (a general element of the cognitive cycle in GMU BICA). This is done by a computational experiment with a rapid prototype of the architecture that generates metacognitive mental states. A spatial learning / spatial navigation paradigm is used here, with a virtual robot implemented in CASTLE. Results show a significant increase in both behavioral and cognitive efficiency of the agent when metacognition is turned on. Generalizations are discussed.

Original languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2010
PublisherIOS Press BV
Pages72-77
Number of pages6
ISBN (Print)9781607506607
DOIs
StatePublished - 2010
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume221
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • Metacognitive architectures
  • human-like intelligence
  • spatial cognition

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