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Other ORP type . 2025
License: CC BY NC
Data sources: ZENODO
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Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Metachronon: A Technical Model for Temporal Phase Transitions in Autopoietic Systems and Self-Improving AI Agents

Authors: Souza Silva, Jaconaazar;

Metachronon: A Technical Model for Temporal Phase Transitions in Autopoietic Systems and Self-Improving AI Agents

Abstract

This work formalizes the concept of the Metachronon as a nonlinear temporal phase transition occurring in both human cognition and advanced artificial agents. Derived from the XChronos project, the Metachronon is defined as a discontinuous reorganization of internal models, policies, and interpretative structures. The article applies this framework to recent developments in Google's Sema 2 self-improving agent and Genie 3 world model, establishing the Metachronon as a cross-domain analytical tool connecting phenomenology, systems theory, and machine learning.

Keywords

Temporal Cognition, Autopoiesis, Genie 3, Nonlinear Learning, Metachronon, Artificial Intelligence, Temporal Phase Transition, Google Sema 2, Cognitive Science, Self-Improving Agents, Complex Systems, XChronos

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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
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