A Controlled Adaptive Network Model for Joint Attention

Dilay F Ercelik, Jan Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-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 publicationProc. of the 12th Annual Conference on Biologically Inspired Cognitive Architectures, BICA'21
PublisherSpringer Nature Switzerland AG
Publication statusAccepted/In press - 15 Nov 2021

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Nature

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