The tGiX™ Algorithm: Quantifying Cognitive Transfer and Human Potential at the Edge of Reality
Krishna Soni · Zenodo (CERN European Organization for Nuclear Research) · 2026
This paper presents the formal specification, mathematical foundations, and system architecture of the tGiX™ (Telemetry-based Gamified Interaction Index) Algorithm. tGiX™ operates as a non-intrusive, platform-agnostic software framework that intercepts native, high-frequency user telemetry during digital interactions and translates it into citable, real-world cognitive performance metrics. Grounded in the behavioral neuroplasticity principles established in our October 2020 foundational work (Soni, 2020) and the theoretical models of The Power of Gaming (Soni, 2024), we mathematically model the process of "Crossing the Edge of Reality"—the transfer of cognitive and behavioral capacity developed in virtual environments into physical, operational efficiency. The tGiX™ framework captures multi-layered user interactions across eight primary cognitive dimensions—Problem-Solving, Pattern Recognition, Cognitive Flexibility, System Management, Reflex Action, Emotional Resilience, Memory Index, and Mood Index—to compute a dynamic, unified index: The Gamer Index (TGI). We outline the integration of Codename-TGX1, a proprietary, fine-tuned Small Language Model (SLM) that acts as a metacognitive optimization layer, parsing empirical telemetry to deliver range-based, AI-curated insights and adaptive progression pathways. Finally, we detail the implementation of calculus-based effort measurements, logarithmic growth multipliers, Fibonacci level scaling, and dynamic equalizers. This work establishes a scientifically sound, empirically validated infrastructure for cognitive optimization, professional recruitment, and the systematic tracking of human potential.