A Theory of Information Subjectivity: A Logico-Definitional Foundation

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20276021
Primary Topic
Diverse Interdisciplinary Research Studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

A Theory of Information Subjectivity: A Logico-Definitional Foundation

Anton Mykhailov
Zenodo (CERN European Organization for Nuclear Research)
Diverse Interdisciplinary Research Studies
preprint

A Theory of Information Subjectivity: A Logico-Definitional Foundation

Anton Mykhailov
preprint en

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.

Zenodo (CERN European Organization for Nuclear Research)
Diverse Interdisciplinary Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.