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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.
Science Robotics
|October 30, 2024
Summary
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.
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.
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