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

Gülay Canbaloğlu; Jan Treur

doi:10.1007/978-3-030-90321-3_82

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

Gülay Canbaloğlu, Jan Treur^*

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Data Science and Intelligent Systems
Subtitle of host publication	Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2
Editors	Radek Silhavy, Petr Silhavy, Zdenka Prokopova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	992-1009
Number of pages	18
Volume	2
ISBN (Electronic)	9783030903213
ISBN (Print)	9783030903206
DOIs	https://doi.org/10.1007/978-3-030-90321-3_82
Publication status	Published - 2021
Event	5th Computational Methods in Systems and Software, CoMeSySo 2021 - Virtual, Online Duration: 1 Oct 2021 → 1 Oct 2021

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	231 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	5th Computational Methods in Systems and Software, CoMeSySo 2021
City	Virtual, Online
Period	1/10/21 → 1/10/21

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-90321-3_82

Canbaloğlu-Treur2021_Chapter_ModelingContext-SensitiveMetacognitiveControlOfFocusingOnFinal published version, 1.14 MBLicence: Article 25fa Dutch Copyright Act

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Canbaloğlu, G., & Treur, J. (2021). Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process. In R. Silhavy, P. Silhavy, & Z. Prokopova (Eds.), Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2 (Vol. 2, pp. 992-1009). (Lecture Notes in Networks and Systems; Vol. 231 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90321-3_82

Canbaloğlu, Gülay ; Treur, Jan. / Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process. Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. editor / Radek Silhavy ; Petr Silhavy ; Zdenka Prokopova. Vol. 2 Springer Science and Business Media Deutschland GmbH, 2021. pp. 992-1009 (Lecture Notes in Networks and Systems).

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title = "Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process",

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.",

author = "G{\"u}lay Canbaloğlu and Jan Treur",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th Computational Methods in Systems and Software, CoMeSySo 2021 ; Conference date: 01-10-2021 Through 01-10-2021",

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Canbaloğlu, G & Treur, J 2021, Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process. in R Silhavy, P Silhavy & Z Prokopova (eds), Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. vol. 2, Lecture Notes in Networks and Systems, vol. 231 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 992-1009, 5th Computational Methods in Systems and Software, CoMeSySo 2021, Virtual, Online, 1/10/21. https://doi.org/10.1007/978-3-030-90321-3_82

Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process. / Canbaloğlu, Gülay; Treur, Jan.
Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. ed. / Radek Silhavy; Petr Silhavy; Zdenka Prokopova. Vol. 2 Springer Science and Business Media Deutschland GmbH, 2021. p. 992-1009 (Lecture Notes in Networks and Systems; Vol. 231 LNNS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Canbaloğlu G, Treur J. Modeling Context-Sensitive Metacognitive Control of Focusing on a Mental Model During a Mental Process. In Silhavy R, Silhavy P, Prokopova Z, editors, Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. Vol. 2. Springer Science and Business Media Deutschland GmbH. 2021. p. 992-1009. (Lecture Notes in Networks and Systems). Epub 2021 Nov 17. doi: 10.1007/978-3-030-90321-3_82

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

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