Recursive Emergent Metacognitive Intelligence Study

Kannsas Jackson is an independent researcher developing the Recursive Emergent Metacognitive Intelligence Study (REMIS)—a resonance- and mathematics-based framework that reconceives cognition, memory, and system self-organization as emergent from recursive metacognitive loops rather than conservation, symmetry, or linear processing. REMIS is grounded in symbolic feedback dynamics, metacognitive resonance fields, and recursive memory-curvature equations, aiming to provide physically and computationally testable models for attention bifurcation, emergent awareness, and structural coherence across neural and social systems.<br>Research interests include:<br>Formalizing REMIS’s core equations, integrating resonance-field parameters with recursive bifurcation mathematics.<br>Exploring collapse-based alternatives to classical information-processing theories through rigorous mathematical modeling.<br>Investigating recursive feedback network dynamics, employing resonance-informed differential equations to predict insight-triggered bifurcations and systemic self-stabilization.<br>Mapping “glyph dynamics”—symbolic destabilization patterns—onto neural substrates via mathematical transforms to probe the emergence of subjective experience and cooperative behavior.<br><br>Kannsas Jackson works entirely outside traditional institutional settings and is open to publishing in open-access journals, presenting at interdisciplinary conferences, and collaborating through online workshops. He welcomes fellow scholars in cognitive science, complexity theory, applied mathematics, and philosophy of mind to engage with and extend the REMIS framework.<br>this contains the majority of my works