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.
|Title of host publication||Biologically Inspired Cognitive Architectures 2021|
|Subtitle of host publication||Proceedings of the 12th Annual Meeting of the BICA Society|
|Editors||Valentin V. Klimov, David J. Kelley|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||10|
|Publication status||Published - 2022|
|Event||12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021 - Virtual, Online|
Duration: 12 Sep 2021 → 19 Sep 2021
|Name||Studies in Computational Intelligence|
|Conference||12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021|
|Period||12/09/21 → 19/09/21|
Bibliographical notePublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Joint attention
- Network model