Bounded Multiplicity - A Runtime Continuity Architecture Framework Inspired by Human Continuity Dynamics

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Authors: Eugene Tsaliev, Vladimir Ryabinskiy, SSRG
Cited by: 2

Abstract

This whitepaper proposes a runtime continuity architecture framework for long-horizon recursive AI systems. It uses observable human continuity dynamics as a reference substrate rather than as a reduction target, and translates selected structural principles into architecture vocabulary for bounded recursive AI runtimes. The manuscript is not clinical guidance, a diagnostic model, a therapeutic protocol, or a claim that AI systems possess human personality, consciousness, agency, or inner experience.

Fields of Study & Subjects

AI-based Problem Solving and Planning Human-Automation Interaction and Safety Reinforcement Learning in Robotics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
21 May 2026
Document type
Preprint