Non Extendability in Artificial Agents

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Authors: Amos Maley
Cited by: 0

Abstract

This paper establishes that artificial agents are non-extendable under admissibility and standing conservation. It shows by exhaustion that any attempt to permit self-extension, self-modification, recursive augmentation, or open-ended capability growth constitutes illicit scope transport and results in terminal standing failure. The argument is purely negative and structural: it does not propose agent architectures, training regimes, or control mechanisms. Instead, it places on record that admissible agency is necessarily bounded and that extensibility claims are incompatible with legitimacy. The treatment is declarative and non-procedural, avoiding any operational or implementation guidance.

Fields of Study & Subjects

Ethics and Social Impacts of AI Psychiatry Mental Health Neuroscience Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026