Informaciology: A Cross-Cutting Discipline for Studying Information Processes in the Hierarchy of Forms of Matter

The article introduces the concept of information science (informatsiologiya) as a cross‑cutting discipline that studies information processes in all forms of matter within the framework of the “Seven Forms of Matter” (7FM) model. The necessity of such a discipline is justified by the fragmentation of information research among cybernetics, information theory, semiotics, biology, and the social sciences. It is shown that information is present in all forms – from physical (fundamental constants, quantum correlations) to biological (genetic and neural information) and civilizational (symbolic information, meta‑knowledge). For each form, specialized units of measurement are proposed: for the biological form – the BioMU system (bit, Shannon, Berridge, Pöppel, Merker); for the civilizational form – the Cognitium system (sem, Dawkins, Otto, Turchin). The cross‑cutting unit, invariant to the carrier, is the Semantic Quantum (SQ) – one atomic true statement in a formal ontology. Information science includes a general theory of information (invariants, laws of conservation and transformation) and special sections: physio‑informatics, bio‑information science, civilizational information science, and meta‑information science (for hypothetical forms 4–7). Within civilizational information science, previously developed concepts are integrated: Hierarchical Information Immunity (HII), the Information‑Distorting Circuit (IDC), and cognitive stratification. Information science does not replace existing information sciences but is built above them, providing a common language for describing information in genes, neural networks, social communications, and hypothetical extraterrestrial civilizations. The article lays the foundation for constructing a general theory of information applicable to all levels of matter organization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-31
DOI
https://doi.org/10.5281/zenodo.20472151
Primary Topic
Artificial Immune Systems Applications
Type
preprint
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preprint

Informaciology: A Cross-Cutting Discipline for Studying Information Processes in the Hierarchy of Forms of Matter

Alexander Yourievitch Kotelnikov
Zenodo (CERN European Organization for Nuclear Research)
Artificial Immune Systems Applications
preprint

Informaciology: A Cross-Cutting Discipline for Studying Information Processes in the Hierarchy of Forms of Matter

Alexander Yourievitch Kotelnikov
preprint en

Abstract

The article introduces the concept of information science (informatsiologiya) as a cross‑cutting discipline that studies information processes in all forms of matter within the framework of the “Seven Forms of Matter” (7FM) model. The necessity of such a discipline is justified by the fragmentation of information research among cybernetics, information theory, semiotics, biology, and the social sciences. It is shown that information is present in all forms – from physical (fundamental constants, quantum correlations) to biological (genetic and neural information) and civilizational (symbolic information, meta‑knowledge). For each form, specialized units of measurement are proposed: for the biological form – the BioMU system (bit, Shannon, Berridge, Pöppel, Merker); for the civilizational form – the Cognitium system (sem, Dawkins, Otto, Turchin). The cross‑cutting unit, invariant to the carrier, is the Semantic Quantum (SQ) – one atomic true statement in a formal ontology. Information science includes a general theory of information (invariants, laws of conservation and transformation) and special sections: physio‑informatics, bio‑information science, civilizational information science, and meta‑information science (for hypothetical forms 4–7). Within civilizational information science, previously developed concepts are integrated: Hierarchical Information Immunity (HII), the Information‑Distorting Circuit (IDC), and cognitive stratification. Information science does not replace existing information sciences but is built above them, providing a common language for describing information in genes, neural networks, social communications, and hypothetical extraterrestrial civilizations. The article lays the foundation for constructing a general theory of information applicable to all levels of matter organization.

Zenodo (CERN European Organization for Nuclear Research)
Artificial Immune Systems Applications
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