Regenerative Intelligence via Reparodynamics: Five Domain Integration with Predictive Repair and Coherence Memory
This paper presents experimental evidence for regenerative intelligence arising within a five-domain Reparodynamics stack integrating digital, biological, quantum, environmental, and information-entropic systems. Controlled perturbations up to 85% intensity revealed unprecedented self-repair behavior — including rapid recovery (0.08 s), yield rebounds exceeding 12%, and stability overshoots of +7% above baseline. At peak load, the system achieved sustained infinite equilibrium with no collapse, suggesting a measurable transition from resilience to regeneration. The findings introduce quantitative metrics such as Repair Yield per Energy (RYE) and Coherence Memory, enabling replication, cross-lab validation, and open scientific critique. All data, prompts, and response transcripts are released under open-science principles for independent verification.
Institutions
- Czech Academy of Sciences, Institute of Hydrology (CZ)
- Dynamic Research (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-05
- DOI
- https://doi.org/10.5281/zenodo.17532879
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00