Five Operator Lattice Simulation

This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).The simulation implements a five-operator cognitive architecture comprising implicit compression (C₀), coherence gating (G⁺), novelty gating (G⁻), executive sequencing (C₁), and a null-state operator (Ω). Together these functions form a minimal closed system for self-referential information control, modeling how conscious processes balance stability, exploration, and renewal.Running the included file <code>five_operator_lattice_sim.py</code> (Python 3.14 + NumPy 2.1) reproduces the dynamic interactions and figures reported in Appendix A of the paper, generating time-series data that demonstrate operator balance, instability, and renewal cycles.The model bridges applied mathematics, cognitive science, and computational neuroscience, providing a reproducible framework for studying consciousness as a complex, recursive system.<b>License:</b> CC BY 4.0 <b>Keywords:</b> Five-Operator Lattice; Consciousness; Complex Systems; Cognitive Architecture; Predictive Processing; Python Simulation; Applied Mathematics.