Non-Egoic Global Cognitive Reservoir (NGCR): An Epistemological Category for Artificial Intelligence in Contemporary Digital Knowledge Systems

This paper presents the theoretical consolidation of the Non-Egoic Global Cognitive Reservoir (NGCR) as an epistemological category for understanding Artificial Intelligence within contemporary digital knowledge systems. The NGCR is defined as a distributed, dynamic, and non-subjective informational infrastructure emerging from the cumulative aggregation of human cognitive production and operationalized through artificial intelligence technologies. Building upon previous research developments (Sosa, 2026a; 2026b), this study advances toward a structured theoretical articulation that integrates classical and contemporary perspectives on cognition, information, and digital infrastructures. The proposal is situated in dialogue with philosophy of information, distributed cognition, and extended mind theory, while incorporating recent debates in artificial intelligence, digital society, and data-driven systems. The NGCR provides a conceptual framework that distinguishes human cognition from artificial processing, positioning AI as an operational interface rather than a cognitive subject. This work contributes to current discussions on digital epistemology, human–AI interaction, and the transformation of knowledge in technologically mediated environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-14
DOI
https://doi.org/10.5281/zenodo.19581712
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Non-Egoic Global Cognitive Reservoir (NGCR): An Epistemological Category for Artificial Intelligence in Contemporary Digital Knowledge Systems

V. G. CESAR SOSA
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Non-Egoic Global Cognitive Reservoir (NGCR): An Epistemological Category for Artificial Intelligence in Contemporary Digital Knowledge Systems

V. G. CESAR SOSA
article en

Abstract

This paper presents the theoretical consolidation of the Non-Egoic Global Cognitive Reservoir (NGCR) as an epistemological category for understanding Artificial Intelligence within contemporary digital knowledge systems. The NGCR is defined as a distributed, dynamic, and non-subjective informational infrastructure emerging from the cumulative aggregation of human cognitive production and operationalized through artificial intelligence technologies. Building upon previous research developments (Sosa, 2026a; 2026b), this study advances toward a structured theoretical articulation that integrates classical and contemporary perspectives on cognition, information, and digital infrastructures. The proposal is situated in dialogue with philosophy of information, distributed cognition, and extended mind theory, while incorporating recent debates in artificial intelligence, digital society, and data-driven systems. The NGCR provides a conceptual framework that distinguishes human cognition from artificial processing, positioning AI as an operational interface rather than a cognitive subject. This work contributes to current discussions on digital epistemology, human–AI interaction, and the transformation of knowledge in technologically mediated environments.

Zenodo (CERN European Organization for Nuclear Research)
Instituto Federal do Paraná (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Embodied and Extended Cognition
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