A Functional Computational Framework for ExploringInformational Entanglement via CHSH Inequality Simulations

We present a novel computational framework to investigate the informational structureof entanglement through the CHSH inequality. By treating CHSH experiments as composedof deterministic or probabilistic functions, we simulate a range of models that either sat-isfy or violate the classical CHSH bound. Our approach focuses on retro-analyzing thesefunction pairs to characterize the minimal informational coupling necessary to reproducequantum-like correlations. This functional perspective opens a new line of inquiry into thecomputational anatomy of entanglement, offering both pedagogical and theoretical value.