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