Alexander Suvorov: Ontological Shift from Data Transmission to Synchronous State Discovery
Fundamental theoretical work proposing an alternative to classical information transmission, where data is regenerated locally through synchronized computation. This paradigm challenges the fundamental Shannonian model of communication.
This work introduces the Local Data Regeneration Paradigm, which challenges the fundamental Shannonian model of information transmission. We propose an ontological shift where data is understood not as objects to be transferred, but as states reached by deterministic systems through synchronous application of shared algorithms to coordinated pointers. Communication is redefined as pointer coordination rather than content transmission. The paradigm is formalized through three foundational postulates, with analysis of applicability domains and fundamental implications for information theory and computer science. This work presents a theoretical framework requiring extensive validation and further research before practical application.
Information is understood as computational state rather than transferable object. Data exists only as the current state of a deterministic system.
Identical states can be reached independently through shared algorithms: D = F(S, P) where F is shared function, S is seed, P is pointer.
Communication becomes the coordination of discovery coordinates (pointers) rather than transmission of content itself.
Information transfer becomes independent of channel bandwidth - only pointers need transmission.
No sensitive data in transit - only pointers to locally regenerated information.
Shifts burden from transmission to local computation and synchronization.
Information transfer limited only by computational capacity and shared algorithm complexity.