Non Extendability in Artificial Agents
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