A Nonlinear Informational Model of Human Well-Being with Correction Dynamics

This project presents a nonlinear informational model of human well-being that integrates Human Alignment Level (HAL) with a soul-based well-being function (H_soul). The model introduces a second-person relational perspective, describing how alignment dynamics influence individual trajectories over time. A unified mathematical formulation is proposed, and numerical simulations illustrate nonlinear divergence in risk under varying relational conditions. The framework provides a conceptual and computational basis for modeling relational well-being and may inform future applications in psychology, education, and social systems research.