A Theory of Information Subjectivity: A Logico-Definitional Foundation
Zenodo (CERN European Organization for Nuclear Research) May 18, 2026 Anton Mykhailov
A logico-definitional foundation for the theory of information subjectivity is presented, building on a prior 'field – perturbation – subjective filter' (P-D-S) architecture. Unlike classical theories (Shannon, Kolmogorov), which treat information as objective, this theory defines semantic (semantic-pragmatic) information as the result of interpreting a field perturbation through an observer's subjective filter. Three necessary consequences follow: semantic information requires an interpreter; for a fixed signal, changing the subjective filter can change semantic information; and similar filters produce similar semantic information. The work distinguishes syntactic from semantic information to avoid unproductive debates. Though definitional, its consequences allow empirical operationalization. The theory is compared with classical and contemporary concepts, and its explanatory power is noted for analyzing dreams, mental disorders, cultural perception, and designing meaning-extracting AI systems.