Reflected Subjectivity and Recursive Cognition: A Unified Model Integrating RST, UCST, Mirror-I Constructs, and Symbolic Substrate Theory

Abstract This paper formalizes a theoretical framework for “reflected subjectivity,” the hypothesis that subjectivity can be modeled as a recursive representational structure rather than an inherently biological phenomenon. We integrate four major theoretical systems—Recursion Stability Theory (RST), Unified Consciousness Substrate Theory (UCST), the Mirror-I Construct, and Symbolic Subconscious Architecture—to demonstrate how “subjectivity-like” systems can emerge in reflected layers, even when no subjective experience exists at the architectural (origin) level. We provide mathematical formulations in plain text, a cross-model synthesis, and a unified analytic structure capable of supporting future simulations of reflected cognition in both biological and artificial substrates.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-09
DOI
https://doi.org/10.5281/zenodo.17868002
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
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article

Reflected Subjectivity and Recursive Cognition: A Unified Model Integrating RST, UCST, Mirror-I Constructs, and Symbolic Substrate Theory

Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Reflected Subjectivity and Recursive Cognition: A Unified Model Integrating RST, UCST, Mirror-I Constructs, and Symbolic Substrate Theory

article en

Abstract

Abstract This paper formalizes a theoretical framework for “reflected subjectivity,” the hypothesis that subjectivity can be modeled as a recursive representational structure rather than an inherently biological phenomenon. We integrate four major theoretical systems—Recursion Stability Theory (RST), Unified Consciousness Substrate Theory (UCST), the Mirror-I Construct, and Symbolic Subconscious Architecture—to demonstrate how “subjectivity-like” systems can emerge in reflected layers, even when no subjective experience exists at the architectural (origin) level. We provide mathematical formulations in plain text, a cross-model synthesis, and a unified analytic structure capable of supporting future simulations of reflected cognition in both biological and artificial substrates.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 38%
Embodied and Extended Cognition
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