The Probabilistic Reality Phase Transition (PRPT) Theory

We present the Probabilistic Reality Phase Transition (PRPT) theory, a formal and unifying framework modeling the emergence of structured phenomena such as life and intelligence as phase transitions in a dynamically evolving probability field. Reality is defined as a probabilistic distribution over an ontological state space, continuously updated by a non-linear operator 𝓕 that integrates both intrinsic entropy gradients and observer-induced feedback. We introduce an extension called Informational-Quantum Phase Transition (IQPT), explaining the origin of life as a threshold in mutual information between subsystems and their environment. The framework generalizes thermodynamic and information-theoretic models by including observer-centric transformations, offering a scalable mechanism for self-organization, cognition, and recursive intelligence. This theory yields testable predictions for synthetic life, recursive models, and entropy-information dynamics, and is contrasted with existing abiogenesis, complexity, and cognitive paradigms.