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Understanding the sense of self through robotics.

Tony J Prescott1, Kai Vogeley2,3, Agnieszka Wykowska4

  • 1Department of Computer Science and Sheffield Robotics, University of Sheffield, Sheffield, UK.

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Robotics offers novel ways to study the self by creating embodied models and using robots as experimental tools. This research explores the minimal self, extended self, and self-disorders, paving the way for artificial systems that exhibit self-awareness.

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Area of Science:

  • Cognitive Science
  • Robotics
  • Neuroscience

Background:

  • The sense of self is a complex phenomenon central to human experience.
  • Understanding the self requires interdisciplinary approaches, including computational modeling and experimental investigation.

Purpose of the Study:

  • To review robotics research relevant to the scientific understanding of the self.
  • To explore how embodied artificial systems can model and investigate aspects of the self.
  • To identify future research directions and challenges in artificial self-construction.

Main Methods:

  • Review of existing robotics research focused on the self.
  • Conceptual framework for using robots as experimental probes for self-related hypotheses.
  • Discussion of computational architectures and sensorimotor systems for artificial self-representation.

Main Results:

  • Robotics provides valuable tools for studying the minimal self, extended self, and disorders of the self.
  • Embodied robotic models can test hypotheses about the development and manifestation of the self.
  • Artificial systems with specific configurations may exhibit key phenomena of the self.

Conclusions:

  • Robotics is a promising avenue for advancing the scientific understanding of the self.
  • The construction of artificial systems can illuminate the fundamental components of selfhood.
  • Future research should focus on developing sophisticated cognitive architectures in robots to explore self-related phenomena.