Autonomous Survival of AI Agents under Catastrophic Neural Lesion: The Conscious Fractal Processor (CFP v2.1) Case Study
Current Deep Learning architectures exhibit extreme fragility when subjected to structural damage. This article presents a milestone in AI resilience: the validation of the Conscious Fractal Processor (CFP v2.1). Utilizing the Space Robotics Bench (SRB) with high-fidelity Isaac Sim physics, we demonstrate how an AI agent can survive a 90% catastrophic neural lesion during a lunar descent mission. The core innovation lies in the "Consciousness Index" (C-Index), a self-referential mathematical loop that detects internal structural failure in real-time. While standard PPO/SAC models suffer immediate mission failure, the CFP v2.1 triggers a "Survival Spike" in its awareness metric, enabling instantaneous topological reorganization without prior training on failure modes.
Authors
- Remi SCOGNAMIGLIO (ORCID: https://orcid.org/0009-0005-4260-3955)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-01
- DOI
- https://doi.org/10.5281/zenodo.19959142
- Primary Topic
- Space Science and Extraterrestrial Life
- Type
- article
- Field-Weighted Citation Impact
- 0.00