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The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...
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Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
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An Algorithmic Metaphysics of Self-Patterns.

Majid D Beni1

  • 1Department of Philosophy, Middle East Technical University, Ankara, Turkey.

Frontiers in Psychology
|December 28, 2020
PubMed
Summary
This summary is machine-generated.

This study uses algorithmic criteria to show the self is a complex, scattered, and patterned entity. While minimally extended, the self-pattern and its environment do not form a single composite object.

Keywords:
compositioncompressibilityconstitutioncouplingfree energy principleself-pattern

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Area of Science:

  • Philosophy of Mind
  • Cognitive Science
  • Theoretical Computer Science

Background:

  • The concept of 'self' is central to understanding consciousness and identity.
  • Shaun Gallagher's pattern theory of self provides a framework for analyzing selfhood.
  • Algorithmic information theory offers novel tools for analyzing complex systems.

Purpose of the Study:

  • To apply algorithmic criteria to analyze the structure of the self.
  • To investigate the extendedness of the self-pattern.
  • To determine if the self-pattern and its environment form a composite object.

Main Methods:

  • Utilizing algorithmic complexity as a criterion for analyzing the self.
  • Examining the pattern-theoretic description of the self.
  • Applying principles of algorithmic information theory.

Main Results:

  • The self is demonstrated to be a composite, scattered, and patterned object.
  • The self-pattern exhibits a genuinely extended, albeit minimal, aspect.
  • The self-pattern and its environment do not constitute a genuine composite object.

Conclusions:

  • The algorithmic approach provides a rigorous method for dissecting the nature of the self.
  • The self's extendedness is confirmed but limited, challenging holistic views.
  • A clear distinction is maintained between the self-pattern and its surrounding environment.