GLOFICA DLT — Langton Autonomon: Architecture, Mathematical Foundations, and Protocol Specification for Autonomous Financial Artificial-Life Systems

An Autonomon is an autonomous financial controller architecture combining a discretized tabular reinforcement-learning policy, a time-series forecasting service (Google TimesFM), constrained parameter mutation (7-locus genome), and a dedicated sovereign non-validating fullnode. Operational monitoring and transaction authorization are separate from policy optimization. A language model may generate asynchronous commentary, but has no authority to bypass execution constraints. This specification defines a practical observation-based controller and distinguishes it from a finite stationary Markov decision process used for conditional theoretical analysis. It proves uniqueness of the observation discretization, boundedness of projected genomes, boundedness of Q-values under bounded rewards, preservation of explicitly enforced accounting constraints under stated transition assumptions, a PAC sample-complexity lower bound on the discretized table, a tracking bound under non-stationarity, a price-of-safety bound for the admissible-action restriction, an effective-trial correction for correlated reproduction gates, and a closed-form scale function for fixed-cost survival.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23373532
Primary Topic
Blockchain Technology Applications and Security
Type
article
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article

GLOFICA DLT — Langton Autonomon: Architecture, Mathematical Foundations, and Protocol Specification for Autonomous Financial Artificial-Life Systems

Germán Malavé
Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

GLOFICA DLT — Langton Autonomon: Architecture, Mathematical Foundations, and Protocol Specification for Autonomous Financial Artificial-Life Systems

Germán Malavé
article en

Abstract

An Autonomon is an autonomous financial controller architecture combining a discretized tabular reinforcement-learning policy, a time-series forecasting service (Google TimesFM), constrained parameter mutation (7-locus genome), and a dedicated sovereign non-validating fullnode. Operational monitoring and transaction authorization are separate from policy optimization. A language model may generate asynchronous commentary, but has no authority to bypass execution constraints. This specification defines a practical observation-based controller and distinguishes it from a finite stationary Markov decision process used for conditional theoretical analysis. It proves uniqueness of the observation discretization, boundedness of projected genomes, boundedness of Q-values under bounded rewards, preservation of explicitly enforced accounting constraints under stated transition assumptions, a PAC sample-complexity lower bound on the discretized table, a tracking bound under non-stationarity, a price-of-safety bound for the admissible-action restriction, an effective-trial correction for correlated reproduction gates, and a closed-form scale function for fixed-cost survival.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Blockchain Technology Applications and Security
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