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ZENODO
Doctoral thesis . 2026
Data sources: ZENODO
ZENODO
Thesis . 2026
Data sources: Datacite
ZENODO
Thesis . 2026
Data sources: Datacite
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Towards a Self-Evolving Social Infrastructure: Hierarchical Error Correction and Observer-Participatory Collapse Mechanisms in Autonomous Physical-Information Foundations

Authors: Kawauchi, Satoshi;

Towards a Self-Evolving Social Infrastructure: Hierarchical Error Correction and Observer-Participatory Collapse Mechanisms in Autonomous Physical-Information Foundations

Abstract

This paper proposes the Autonomous Evolutionary Social Infrastructure System (AESIS), a unified framework that integrates energy storage, information processing, and structural self-healing into a single Physical Computing Foundation. By applying hierarchical error correction inspired by quantum systems and introducing conceptual adiabatic walls, AESIS achieves biological-level resilience against physical and logical failures. Ethical alignment is ensured through an observer-participatory collapse mechanism, requiring human approval for high-impact decisions. The model redefines infrastructure as a self-organizing, adaptive “Social OS” capable of continuous societal evolution.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green