[!] WORK IN PROGRESS // EXPERIMENTAL PROTOTYPE ACTIVE // RESEARCH DATA SUBJECT TO CHANGE
ABSTRACT
This paper introduces F.R.A.C.C. (Fractal Recursive Adaptive Cognitive Chains), a novel cognitive
architecture designed to enable recursive self-improvement and adaptive reasoning in AI systems. By
decomposing complex problems into fractal sub-structures, the system achieves hierarchical reasoning
across multiple abstraction layers.
"The F.R.A.C.C. architecture represents a paradigm shift from linear inference chains to recursive,
self-modifying cognitive structures that mirror the fractal nature of human thought processes."
KEY CONTRIBUTIONS
- // C1: Recursive decomposition framework for
multi-scale reasoning
- // C2: Adaptive chain modification based on
intermediate results
- // C3: Fractal pattern recognition across cognitive
hierarchies