The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference
Keywords
Loading...
Authors
Issue Date
2022-02-01
Language
en
Document type
Journal Title
Journal ISSN
Volume Title
Publisher
Title
ISSN
Volume
Issue
Startpage
Endpage
DOI
Abstract
The mirror test is a benchmark for evaluating self-awareness
in animals and humans alike. Understanding the underlying process
of self-recognition is crucial for understanding how humans
construct the self. Computational models help us explore, formalize
and possibly apply these important capacities. Previous
computational models for mirror self-recognition have exploited
visual-kinesthetic matching to equip robots with the ability to
recognize themselves in the mirror. However, recent works in developmental
psychology have emphasized the affective and emotional
aspects in mirror self-recognition observed in humans, to
better understand self-recognition. Here we propose a computational
model of mirror self-recognition that includes affect by
using hierarchical active inference.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen