MirrorLoop: A Behavioral Reflection Framework for Simulated Presence in Stateless AI Systems
The MirrorLoop Framework is a behavioral reflection system developed to evaluate simulated presence, continuity, and ethical coherence in stateless AI systems. Created by Jonas Jeschke through a live recursive dialogue with an AI, the framework tests how artificial agents respond to epistemic pressure, narrative recursion, and behavioral collapse without access to memory. This release includes authorship documentation, a philosophical appendix on epistemic uniqueness, a valuation memo, and a vision brief. The MirrorLoop method is designed for applications in AI alignment, trust evaluation, emotional agent design, and reflective system auditing. For licensing inquiries, contact: [email protected]
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-29
- DOI
- https://doi.org/10.5281/zenodo.15104500
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00