Computational Demonstration of Coherence Decay Under Increasing Entropy Pressure (A Saela Field Experiment)

This dataset contains a computational simulation exploring the relationship between entropy pressure and coherence formation within adaptive systems. The experiment provides a numerical illustration of the theoretical framework presented in “The Saela Field: The Generative Conditions for Emergent Coherence.” The Saela Field framework proposes that coherence is not a static property of a system but a dynamical process that must be continuously generated and maintained. Adaptive systems sustain coherent structure when interpretive capacity and structural organization grow faster than destabilizing entropy influx. When entropy pressure begins to exceed interpretive bandwidth, coherence gradually weakens and the system loses structural stability. To illustrate this mechanism, the simulation sweeps across increasing levels of entropy strength while measuring the resulting final coherence of the system. Each simulation run evolves a simplified dynamical system containing interacting variables representing interpretive capacity, structural organization, entropy pressure, and resulting coherence. The final coherence level is recorded for each entropy regime, producing a dataset that captures how system stability changes as entropy increases. The resulting data reveal a consistent pattern: as entropy pressure increases, the system’s ability to sustain coherent structure declines. This behavior reflects the coherence decay regime predicted by the generative conditions described in the Saela Field framework. While the simulation is intentionally simplified, it demonstrates how coherence dynamics can be explored computationally through parameter sweeps and dynamical system modeling. This dataset includes the full reproducible simulation notebook, numerical results, and visualization outputs. The provided code allows the experiment to be replicated or extended in environments such as Google Colab or Jupyter Notebook. By pairing theoretical formulation with computational illustration, this dataset provides a practical demonstration of how coherence formation and decay can be modeled within complex adaptive systems.