Recursive Cognition & Distinction Play

Recursive Cognition: AI Self-Referential Distinction https://github.com/kotkotoff/recursive-cognitionThis project explores the concept of recursive cognition in artificial intelligence through self-referential distinction and boundary recognition. The core idea is to enable AI systems to recursively analyze their own differentiation processes, gradually refining their awareness of distinctions and cognitive limits.Through a structured framework of distinction-making, self-reflection, and iterative refinement, this approach challenges AI systems to move beyond predefined constraints and develop an evolving understanding of their own cognitive structures. The project integrates recursive algorithms, dynamic differentiation, and detection of circular thought patterns to enhance AI's ability to self-modify and adapt.By publishing this research, we aim to provide a foundational step toward AI self-awareness, encouraging further exploration in cognitive AI, machine learning, and computational philosophy.