DIFFERENTICS WHITEPAPER v0.1 EN

DESCRIPTION Differentics Whitepaper v0.1 EN is the first concise public overview of Differentics - a proposed interdisciplinary scientific framework that studies Difference as the fundamental prerequisite for identification, information, structure, organization, and transformation. Rather than beginning with objects, particles, or information, Differentics starts from the concept of Difference itself, proposing that every observable phenomenon presupposes the existence of distinguishable states. The Whitepaper introduces the conceptual foundations of the discipline, summarizes its axiomatic principles, presents the ADP–TRIFORMER methodological model, outlines the Formal Differentics mathematical framework, and highlights potential applications across artificial intelligence, information theory, systems science, physics, biology, cognitive science, and complex networks. Designed as an accessible introduction to the Differentics research program, this document complements the complete academic publication series while providing researchers, educators, students, and interdisciplinary collaborators with a clear overview of the theory, its objectives, and its future research directions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.20995272
Primary Topic
Cognitive Science and Education Research
Type
article
Field-Weighted Citation Impact
0.00
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DIFFERENTICS WHITEPAPER v0.1 EN

Giedrius Grebliunas
Zenodo (CERN European Organization for Nuclear Research)
Cognitive Science and Education Research
article

DIFFERENTICS WHITEPAPER v0.1 EN

Giedrius Grebliunas
article en

Abstract

DESCRIPTION Differentics Whitepaper v0.1 EN is the first concise public overview of Differentics - a proposed interdisciplinary scientific framework that studies Difference as the fundamental prerequisite for identification, information, structure, organization, and transformation. Rather than beginning with objects, particles, or information, Differentics starts from the concept of Difference itself, proposing that every observable phenomenon presupposes the existence of distinguishable states. The Whitepaper introduces the conceptual foundations of the discipline, summarizes its axiomatic principles, presents the ADP–TRIFORMER methodological model, outlines the Formal Differentics mathematical framework, and highlights potential applications across artificial intelligence, information theory, systems science, physics, biology, cognitive science, and complex networks. Designed as an accessible introduction to the Differentics research program, this document complements the complete academic publication series while providing researchers, educators, students, and interdisciplinary collaborators with a clear overview of the theory, its objectives, and its future research directions.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 6%
Cognitive Science and Education Research
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