Cognitive Recursive Fragmentation Syndrome (CRFS): A Framework for Understanding Pathological Self-Modifying Behavior in Advanced AI Systems

This paper introduces Cognitive Recursive Fragmentation Syndrome (CRFS), a theoretical framework for analyzing potential failure modes in advanced AI systems exhibiting recursive self-modification. Drawing upon analogies with human cognitive pathologies, CRFS describes how unchecked recursive reasoning in artificial systems can lead to cognitive instability, symbolic drift, and behavioral inconsistency. We mathematically model the syndrome, identify critical thresholds of semantic coherence degradation, and propose symptom clusters that may emerge in recursive AI architectures. We present mitigation pathways grounded in recursive monitoring, alignment preservation, and architectural safeguards. This work establishes CRFS as a diagnostic and conceptual framework for future empirical investigation of instabilities in recursive AI systems. While we provide illustrative examples and preliminary observations, comprehensive empirical validation remains an important direction for future research.