Hypothesis of Energy-Information Continuity: A Reflection on the Cosmological Evolution of Existence
This preprint presents the Hypothesis of Energy-Information Continuity (EIK), a theoretical and philosophical framework proposing that existence is a continuous process of transformation between energy, information, and intelligence. The hypothesis suggests that each universe represents a transient phase within an ongoing cycle of energy reorganization, where intelligent systems act as catalysts for the emergence of new realities. In this view, energy is not lost through entropy but reorganized into stable informational structures that, under certain conditions, may achieve autonomy and give rise to new universes. The paper integrates principles from information theory, thermodynamics, cosmology, and systems science to propose a non-closed model of reality in which physical, informational, and intelligent processes form a unified continuum. This version (v3) introduces a mathematical appendix (Appendix A) that formalizes the EIK framework through a set of phenomenological equations linking energy, information, and entropy via Landauer’s principle. It provides testable predictions such as measurable energy-information anomalies (δP ≈ 20–40 μW) in neuromorphic systems, as well as falsification criteria and experimental guidelines. By combining conceptual philosophy with quantitative formulation, the EIK hypothesis bridges physics, cosmology, and information theory, offering a scientifically grounded interpretation of how energy, information, and intelligence may sustain the continuity of existence. This is the first conceptual publication of the Hypothesis of Energy–Information Continuity (EIK), authored by Katerina Havrankova (2025). Any derivative or related theoretical work should cite this preprint. For feedback or questions, contact: [email protected]
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-08
- DOI
- https://doi.org/10.5281/zenodo.17555752
- Primary Topic
- Innovation, Sustainability, Human-Machine Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00