Description

English: This research paper introduces the KS-CMP (Soydan Cognitive Modeling Protocol), a novel methodology for developing Dynamic Cognitive Twins (DC-T). Unlike traditional linear AI models, this protocol integrates an individual's unique subjective reactivity thresholds (Tr) and siberpsychological data to create an adaptive digital representation of human decision-making processes. The study includes a mathematical model for reactivity coefficients and a case analysis focused on operational crisis management, demonstrating how "neural signatures" can be preserved and utilized in digital architectures.

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Key focus areas:

  • Cognitive Architecture: Design of non-linear, adaptive digital twins.

     

     

  • Siberpsychology: Utilizing digital footprints to map linguistic DNA and risk filters.

     

     

  • Mathematical Modeling: Calculation of response thresholds in crisis simulations.

     

     

  • Consciousness Engineering: Ethical frameworks for digital ownership and identity preservation.