A Theory of Information Subjectivity: A Logico-Definitional Foundation
Zenodo (CERN European Organization for Nuclear Research) May 18, 2026 DOI: 10.5281/zenodo.20276021 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Information theory Filter signal processing Embodied cognition Foundation evidence Information system Information processing Core optical fiber Value mathematics Epistemology Artificial intelligence Cognitive science Field mathematics |
| Key points | Argues that semantic information is defined as the result of interpreting a field perturbation through a subjective filter, with three logically necessary consequences regarding the role of the interpreter and filter. |
Abstract
The present work offers a logico-definitional foundation for the theory of information subjectivity, which develops the basic "field – perturbation – subjective filter" (P-D-S) architecture previously laid out by myself. In contrast to classical approaches (Shannon, Kolmogorov), where information is treated as an objective characteristic of a signal or data, the proposed theory defines **semantic (semantic-pragmatic) information** as the result of interpreting a field perturbation through the subjective filter of an observer. Three key consequences follow from this definition with logical necessity: (1) semantic information does not arise in the absence of an interpreter; (2) for a fixed signal, a change in the subjective filter can lead to a change in semantic information; (3) similar filters generate similar semantic information. The work contains an explicit distinction between syntactic and semantic information, which allows one to avoid unproductive debates with physicists, biologists, and proponents of classical information theory. The core of the theory is definitional-conceptual in nature; however, its consequences allow for empirical operationalization. A comparison is made with classical theories of information (Shannon, Kolmogorov, Landauer/Bennett, Carnap/Bar-Hillel, quantum theory, Luhmann, Dervin, Burgin, Yockey, Wiener) and with contemporary concepts (Predictive Processing, Free Energy Principle, Integrated Information Theory, Ecological Information, Active Inference, Embodied Cognition, Enactivism). The scientific value of the theory lies in its explanatory power when analyzing the phenomena of dreams, mental disorders, cultural perception, and in designing artificial intelligence systems oriented towards extracting meaning.