Parallels Between the Digital Twin Concept and Mathematical Phenomenology of Human Perception

This paper explores the conceptual relationship between Digital Twins (DTs) and proposed Cognitive Twins (CTs), showing that both share a similar five-dimensional structure in which upper-level components (virtual entities or qualia) govern lower-level physical components. While DTs arise in engineered, socio-technical contexts and CTs emerge from biological evolution, their structural parallels suggest the possibility of deeper, shared mechanisms. Additionally, we highlight the importance of an often-overlooked dimension in DTs: the data-processing component, analogous to the sensory unit in CTs. This mid-level bridge transforms bottom-up data into top-down information and may be effectively modeled using Hilbert space formalism to capture uncertainty and one-to-many mappings in decisionmaking based on high-level information.

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Published
2025-06-30
DOI
https://doi.org/10.1109/synchroinfo65403.2025.11079313
Primary Topic
Technology and Human Factors in Education and Health
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article
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article

Parallels Between the Digital Twin Concept and Mathematical Phenomenology of Human Perception

Ihor Lubashevsky, Vasily Lubashevskiy
Technology and Human Factors in Education and Health
article

Parallels Between the Digital Twin Concept and Mathematical Phenomenology of Human Perception

Ihor Lubashevsky, Vasily Lubashevskiy
article en

Abstract

This paper explores the conceptual relationship between Digital Twins (DTs) and proposed Cognitive Twins (CTs), showing that both share a similar five-dimensional structure in which upper-level components (virtual entities or qualia) govern lower-level physical components. While DTs arise in engineered, socio-technical contexts and CTs emerge from biological evolution, their structural parallels suggest the possibility of deeper, shared mechanisms. Additionally, we highlight the importance of an often-overlooked dimension in DTs: the data-processing component, analogous to the sensory unit in CTs. This mid-level bridge transforms bottom-up data into top-down information and may be effectively modeled using Hilbert space formalism to capture uncertainty and one-to-many mappings in decisionmaking based on high-level information.

National Research University Higher School of Economics (RU), Tokyo International University (JP)
Reduced inequalities
Openalex Percentile: Top 75%
Technology and Human Factors in Education and Health
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