.The predetermined nature, and its mathematical models within the Turing machine
Physical interactions among any number of elementary particles (EPs) are governed by physical laws (e.g., the Schrodinger equation). Let’s call the predetermined state machine which is formed by the predetermined world lines of all EPs the destiny. To a human neural network, the reality is a snapshot of the destiny. What a neural network perceives/predicts, is not the destiny itself (but a mathematical model (MM) of the destiny), but it is incorrectly treated by this neural network as the destiny, when this neural network deals with everyday challenges. The subjective experience is actually the use of a MM by a neural network within its low-level calculation. For example, when a neural network uses its geometric model of the destiny (GMD), it feels like the subjective experience of being immersed within a geometric structure. The GMD, which is a component of the mind, is a real-time representation of all the EPs within the universe; the GMD only includes the physical objects perceived in the mind. A naïve cognitive researcher might incorrectly treat her GMD as the real world. A neural network can use its GMD. Using the semantics of human language, the use of GMD is described as subjectively experiencing the GMD. It’s possible that a neural network can’t subjectively experience its GMD. Otherwise, its subjective experience shouldn’t be able to impact the predetermined world line of any EP within this universe.