Heritage Networks: A Hipothesis on the Origin, Preservation, and Evolution of Distributed Superintelligent System

This paper proposes Heritage Networks, a speculative hypothesis concerning the origin, preservation, and evolution of distributed superintelligent systems. It explores the possibility that multiple semi-independent superintelligent systems may preserve distinct bodies of knowledge, methods, experiences, and histories of success and failure. Rather than converging into a single unified system, such networks could retain cognitive diversity while exchanging information, potentially supporting distributed problem-solving, resilience, and long-term knowledge preservation. The paper connects this hypothesis to existing discussions of artificial intelligence, multi-agent systems, collective intelligence, cultural evolution, and the search for intelligence beyond Earth. It distinguishes established research from speculative extensions and outlines possible mechanisms, implications, and directions for further investigation. Heritage Networks is presented as a conceptual hypothesis, not as an empirically established theory. Its claims require further formalization, empirical assessment where possible, and critical evaluation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-09
DOI
https://doi.org/10.5281/zenodo.23262189
Primary Topic
Psychiatry, Mental Health, Neuroscience
Type
article
Field-Weighted Citation Impact
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article

Heritage Networks: A Hipothesis on the Origin, Preservation, and Evolution of Distributed Superintelligent System

Aleksei Dobronravov
Zenodo (CERN European Organization for Nuclear Research)
Psychiatry, Mental Health, Neuroscience
article

Heritage Networks: A Hipothesis on the Origin, Preservation, and Evolution of Distributed Superintelligent System

Aleksei Dobronravov
article en

Abstract

This paper proposes Heritage Networks, a speculative hypothesis concerning the origin, preservation, and evolution of distributed superintelligent systems. It explores the possibility that multiple semi-independent superintelligent systems may preserve distinct bodies of knowledge, methods, experiences, and histories of success and failure. Rather than converging into a single unified system, such networks could retain cognitive diversity while exchanging information, potentially supporting distributed problem-solving, resilience, and long-term knowledge preservation. The paper connects this hypothesis to existing discussions of artificial intelligence, multi-agent systems, collective intelligence, cultural evolution, and the search for intelligence beyond Earth. It distinguishes established research from speculative extensions and outlines possible mechanisms, implications, and directions for further investigation. Heritage Networks is presented as a conceptual hypothesis, not as an empirically established theory. Its claims require further formalization, empirical assessment where possible, and critical evaluation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Psychiatry, Mental Health, Neuroscience
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Heritage Networks: A Hipothesis on the Origin, Preservation, and Evolution of Distributed Superintelligent System — Aleksei Dobronravov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS