A Controlled Adaptive Network Model for Joint Attention

Dilay F. Ercelik, Jan Treur*

*Corresponding author for this work

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

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Abstract

Joint or shared attention is a fundamental cognitive ability, which manifests itself in shared-attention episodes where two individuals attend to the same object in the environment. Network-oriented modeling provides an explicit framework for laying out this attentional process from the perspective of the individual initiating the episode. To this end, we describe an adaptive network with two reification levels and clearly explain the role of its states. We conclude with some suggestions for extending this modeling work and thinking about the potential use-cases of more developed models.

Original languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2021
Subtitle of host publicationProceedings of the 12th Annual Meeting of the BICA Society
EditorsValentin V. Klimov, David J. Kelley
PublisherSpringer Science and Business Media Deutschland GmbH
Pages138-147
Number of pages10
ISBN (Print)9783030969929
DOIs
Publication statusPublished - 2022
Event12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021 - Virtual, Online
Duration: 12 Sept 202119 Sept 2021

Publication series

NameStudies in Computational Intelligence
Volume1032 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021
CityVirtual, Online
Period12/09/2119/09/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Adaptive
  • Joint attention
  • Network model
  • Second-order

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