Local Data Regeneration

Ontological shift from data transmission to synchronous state discovery

Paradigm Published 2025 Information Theory DOI: 10.5281/zenodo.17264327

Local Data Regeneration Paradigm

Ontological shift from data transmission to synchronous state discovery

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Fundamental theoretical work proposing an alternative to classical information transmission, where data is regenerated locally through synchronized computation.

Abstract

This work introduces the Local Data Regeneration Paradigm, which challenges the fundamental Shannonian model of information transmission. We propose an ontological shift where data is understood not as objects to be transferred, but as states reached by deterministic systems through synchronous application of shared algorithms to coordinated pointers. Communication is redefined as pointer coordination rather than content transmission. The paradigm is formalized through three foundational postulates, with analysis of applicability domains and fundamental implications for information theory and computer science.

Key Resources

Full Paper

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Foundational Postulates

I
Data as System State

Information is understood as computational state rather than transferable object.

II
Synchronous Local Regeneration

Identical states reached through shared algorithms: D = F(S, P)

III
Communication as Pointer Synchronization

Communication becomes coordination of discovery coordinates rather than content transmission.

DOI
10.5281/zenodo.17264327
Published
October 4, 2025
Language
English

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