A Controlled Adaptive Network Model for Joint Attention

Dilay F Ercelik, J. Treur

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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 - Proceedings of the 12th Annual Meeting of the BICA Society
EditorsValentin V. Klimov, David J. Kelley
PublisherSpringer Nature
Pages138-147
Number of pages10
ISBN (Electronic)978-3-030-96993-6
ISBN (Print)978-3-030-96992-9
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event12th Annual Meeting of the BICA Society - vienna, Austria
Duration: 12 Sep 202119 Sep 2021

Publication series

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

Conference

Conference12th Annual Meeting of the BICA Society
Abbreviated titleBICA
Country/TerritoryAustria
Cityvienna
Period12/09/2119/09/21

Keywords

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

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