Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process

Gülay Canbaloğlu, Jan Treur*

*Corresponding author for this work

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

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Abstract

Focusing on a proper mental model during mental processes is often crucial. Metacognition is used to control such focusing in a context-sensitive manner. In this paper, a second-order adaptive mental network model is introduced for this form of metacognitive control. The second-order adaptive network model obtained is illustrated by a case scenario concerning social interaction.

Original languageEnglish
Title of host publicationData Science and Intelligent Systems
Subtitle of host publicationProceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2
EditorsRadek Silhavy, Petr Silhavy, Zdenka Prokopova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages992-1009
Number of pages18
Volume2
ISBN (Electronic)9783030903213
ISBN (Print)9783030903206
DOIs
Publication statusPublished - 2021
Event5th Computational Methods in Systems and Software, CoMeSySo 2021 - Virtual, Online
Duration: 1 Oct 20211 Oct 2021

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer
Volume231 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference5th Computational Methods in Systems and Software, CoMeSySo 2021
CityVirtual, Online
Period1/10/211/10/21

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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