Cognitive neurorobotics and self in the shared world, a focused review of ongoing research

Jun Tani, Jeffrey White*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

3 Citations (Scopus)
2 Downloads (Pure)

Abstract

Through brain-inspired modeling studies, cognitive neurorobotics aims to resolve dynamics essential to different emergent phenomena at the level of embodied agency in an object environment shared with human beings. This article is a review of ongoing research focusing on model dynamics associated with human self-consciousness. It introduces the free energy principle and active inference in terms of Bayesian theory and predictive coding, and then discusses how directed inquiry employing analogous models may bring us closer to representing the sense of self in cognitive neurorobots. The first section quickly locates cognitive neurorobotics in the broad field of computational cognitive modeling. The second section introduces principles according to which cognition may be formalized, and reviews cognitive neurorobotics experiments employing such formalizations. The third section interprets the results of these and other experiments in the context of different senses of self, both “minimal” and “narrative” self. The fourth section considers model validity and discusses what we may expect ongoing cognitive neurorobotics studies to contribute to scientific explanation of cognitive phenomena including the senses of minimal and narrative self.

Original languageEnglish
JournalAdaptive Behavior
DOIs
Publication statusE-pub ahead of print/First online - 9 Oct 2020

Keywords

  • active inference
  • cognitive architecture
  • Cognitive robotics
  • free energy
  • neurorobotics
  • predictive coding
  • the sense of self
  • UT-Hybrid-D

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