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ZENODO
Report . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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PETRONUS™ and Cybernetics 2.5™. Technical Whitepaper

Authors: Barziankou, Maksim;

PETRONUS™ and Cybernetics 2.5™. Technical Whitepaper

Abstract

This whitepaper presents a philosophical and architectural framework for understanding long-horizon failure in adaptive systems. It argues that many failures attributed to chaos, instability, or unpredictability arise from an inability to preserve semantic continuity and organizational identity across time. Rather than proposing algorithms or implementations, the work introduces an architectural worldview in which identity continuity, not local performance or optimization, is the primary invariant. It reframes chaos as semantic amnesia under temporal load, choice as a test of identity preservation, and survival as a pre-conscious structural constraint. The paper establishes conceptual foundations for what is termed Cybernetics 2.5™: a post-optimization paradigm for adaptive systems operating under prolonged uncertainty. The contribution is non-algorithmic and non-disclosing, focusing instead on architectural necessity and ontological limits of existing control, learning, and optimization paradigms.

Keywords

identity continuity, non-causal architecture, post-optimization systems, structural viability, PETRONUS, Cybernetics 2.5, adaptive system failure, regime transitions, long-horizon adaptive systems, Cybernetics, temporal semantics, semantic drift

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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