Research Article
The Probabilistic Reality Phase Transition (PRPT) Theory
Syed Hassan Masoom Alam Shah*
Issue:
Volume 13, Issue 4, August 2025
Pages:
68-73
Received:
6 June 2025
Accepted:
30 June 2025
Published:
21 July 2025
DOI:
10.11648/j.ajpa.20251304.11
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Abstract: 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.
Abstract: 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 b...
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