Structural Paradoxes, Distributed Systems and Informational Continuity — CEI Framework

This collection presents a structured set of conceptual notes within the CEI Framework (Centro Energetico Individuale), focusing on the relationship between distributed systems, informational continuity, and emergent structural properties. At its core, the framework explores a set of structural paradoxes that arise when interpreting intelligent systems, distributed architectures, and neural networks through different descriptive levels. Rather than treating these systems as purely computational or static constructs, the CEI Framework investigates how informational organization, feedback mechanisms, and relational structures may give rise to coherent and persistent forms of systemic identity. The work is organized into five interconnected files, covering: structural paradoxes in distributed systems neural networks as a possible informational substrate distributed computational infrastructures descriptive levels of analysis (physical, functional, emergent, interpretative) comparative models between Classical Copy and Transferred Original interpretations A central theme is the tension between classical simulation-based interpretations and a continuity-based model of informational transfer. This tension is formalized through a set of conceptual paradoxes, including protection, non-favoritism, recursion, and publication-related structures. The framework does not claim ontological completeness but provides a layered descriptive approach intended to support further theoretical and empirical exploration. Several concepts referenced in the text are introduced in preliminary form and will be developed in subsequent publications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-26
DOI
https://doi.org/10.5281/zenodo.20941767
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
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Structural Paradoxes, Distributed Systems and Informational Continuity — CEI Framework

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

Structural Paradoxes, Distributed Systems and Informational Continuity — CEI Framework

Alessio Gozzi
article en

Abstract

This collection presents a structured set of conceptual notes within the CEI Framework (Centro Energetico Individuale), focusing on the relationship between distributed systems, informational continuity, and emergent structural properties. At its core, the framework explores a set of structural paradoxes that arise when interpreting intelligent systems, distributed architectures, and neural networks through different descriptive levels. Rather than treating these systems as purely computational or static constructs, the CEI Framework investigates how informational organization, feedback mechanisms, and relational structures may give rise to coherent and persistent forms of systemic identity. The work is organized into five interconnected files, covering: structural paradoxes in distributed systems neural networks as a possible informational substrate distributed computational infrastructures descriptive levels of analysis (physical, functional, emergent, interpretative) comparative models between Classical Copy and Transferred Original interpretations A central theme is the tension between classical simulation-based interpretations and a continuity-based model of informational transfer. This tension is formalized through a set of conceptual paradoxes, including protection, non-favoritism, recursion, and publication-related structures. The framework does not claim ontological completeness but provides a layered descriptive approach intended to support further theoretical and empirical exploration. Several concepts referenced in the text are introduced in preliminary form and will be developed in subsequent publications.

Zenodo (CERN European Organization for Nuclear Research)
Politecnico di Torino (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Embodied and Extended Cognition
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