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||Proc. of the 12th Annual Conference on Biologically Inspired Cognitive Architectures, BICA'21|
|Publisher||Springer Nature Switzerland AG|
|Publication status||Accepted/In press - 15 Nov 2021|
|Name||Studies in Computational Intelligence|