PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 24, 20260 citationsOpen Access

THE NEW PARADIGM OF REALITY: Natural Information (NI) as a Complete Ontological Theory of the Source

View Full Paper
WSWaldemar Superson

Key Points

  • The aim is to present Natural Information (NI) as a comprehensive theory explaining the source of existence.
  • Introduced a generative equation: UF=f(I)
  • Defined four intrinsic informational invariants
  • Explored the mathematics behind ontological information stability
  • Demonstrated NI's application across multiple scientific disciplines
  • NI provides a self-contained explanation of existence and its components.
  • Establishes a unified framework for studying physics, biology, cognition, and mathematics.
  • Describes how raw information collapses into stable forms through mathematical architecture.

Abstract

This publication introduces Natural Information (NI) as a complete ontological theory describing the fundamental source of all forms and processes in reality. NI proposes that the primary constituent of existence is Ontological Information (ii.), from which physical, biological, cognitive, and structural phenomena emerge. NI provides its own foundation, dynamics, invariants, attractors, and generative laws, making it a fully self‑contained scientific paradigm. The theory is built upon the Fundamental Generative Equation: UF=f(I) with the generative operator defined by four intrinsic informational invariants: f(I)=(K4, ϕ, 7, B(I)) K4 — minimal relational kernel enabling stability φ — optimal informational ratio (golden ratio) 7 — minimal stabilization cycle B(I) — informational basin (attractor) These components form the mathematical architecture through which raw ontological information collapses into stable forms. NI is presented here as a complete and independent scientific theory, requiring no external frameworks. It offers a unified foundation for future research across physics, biology, cognition, mathematics, and the study of natural structures. This work is published openly so that researchers may freely explore, extend, and apply NI within their own scientific domains. Author: Waldemar Superson

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Waldemar Superson (2026) studied this question.

synapsesocial.com/papers/699d401ade8e28729cf65226https://doi.org/10.5281/zenodo.18735301
Ask AI
Helpful
Bookmark
Share
View Full Paper