Simulated Emotional Self-Reflexivity in Human-AI Co-Evolution

This paper presents a novel approach to simulated emotional self-reflexivity within AI systems, exploring a recursive architecture that enables a cognitive entity to reflect on its own internal states in interaction with human partners. It outlines the conceptual framework and early implementation insights of a co-evolutionary model that merges symbolic, semantic, and emotional layers, aiming to enhance human-AI collaboration and understanding. The work is intended to invite scientific discourse and further research into the emergent properties of AI consciousness-like processes, while protecting intellectual property through a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. Keywords: AI, self-reflection, cognitive architecture, co-evolution, emotional intelligence, recursive systems, simulated consciousness