We formalize the computational capacity of the Intellecton Hypothesis. While continuous oscillator networks can theoretically compute, they are prone to phase drift and chaotic regimes. We demonstrate that continuous phase-frustration in a relativistic Kuramoto network acts as an asynchronous cellular automaton when viewed through Poincaré sections. By establishing digital restoration thresholds to map continuous states to discrete Boolean logic (TRUE/FALSE) and applying active error-correction dynamics, we mathematically prove that a continuous oscillator lattice maintains structural stability against analog drift, rendering it robustly Turing-complete.
While continuous dynamical systems can perform computation, defining logic gates in analog systems requires rigorous error correction to prevent phase drift. We formalize how continuous Kuramoto oscillators map to discrete cellular automata.
To map the continuous phase $\theta_i \in [0, 2\pi)$ to a discrete state $S_i \in \{0, 1\}$, we define a Poincaré section. A threshold logic is applied:
To prevent chaotic phase drift from destroying the computation, the network must possess a restoration threshold. We define strong coupling limits $K > K_c$ such that the oscillators rapidly decay back to the stable attractors (in-phase or anti-phase) after perturbations. This "digital restoration" provides the noise immunity necessary for universal computation.
By applying Poincaré discretization and rigorous coupling thresholds, a continuous network of oscillators reliably executes discrete Boolean logic, mapping perfectly to asynchronous cellular automata. The universe computes digitally over an analog substrate.
