Informational Pressure as a Universal Dynamic: An Information-Based Reconstruction of Physical Processes

This paper introduces the concept of informational pressure as a universal dynamical quantity that governs the evolution, structuring, and expansion of an information-based universe. Building upon an ontology where distance is defined as an informational state, space as a path-length structure, and time as a discrete update order, we demonstrate that informational pressure serves as the driving force behind both macroscopic and microscopic physical processes. Emerging from gradients of informational density within a fundamental state graph, informational pressure acts as a universal mechanism that yields motion, structural emergence, compression, cosmic expansion, and non-classical correlations. By transforming classical forces into derived emergent effects of a deeper informational field, this framework provides an algorithmically testable dynamics equations for synthetic physical models without requiring an a priori geometric structure.