ADP–TRIFORMER METHODOLOGICAL MODEL v1.0 EN
DESCRIPTION Document No. 5 – ADP–TRIFORMER Methodological Model v1.0 EN presents the universal methodological framework of Differentics, establishing a systematic approach for analyzing, modeling, transforming and generating Difference across scientific disciplines. The document introduces the ADP–TRIFORMER architecture, in which every observable process is represented through the interaction of three inseparable components: Algorithm (A), Data (D), and Processor (P). Within Differentics, these components are interpreted respectively as the transformation mechanism, difference potential, and transformation executor, forming a universal recursive model of Difference formation. The methodology demonstrates how Difference emerges, evolves, stabilizes and recursively generates increasingly complex structures, providing a common analytical framework applicable to mathematics, information theory, artificial intelligence, computer science, physics, biology, neuroscience, systems theory and other domains. As the methodological counterpart to the axiomatic and formal foundations of Differentics, this document establishes reproducible research procedures, analytical principles and interdisciplinary modeling techniques that enable the practical application of the General Logic of Difference. This publication forms Document No. 5 of the Differentics foundational publication series and completes the initial methodological core of the discipline. License: CC BY-NC-ND 4.0 International. Author: Giedrius Grebliunas.
Authors
- Giedrius Grebliunas (ORCID: https://orcid.org/0009-0002-2135-6420)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-28
- DOI
- https://doi.org/10.5281/zenodo.20978450
- Primary Topic
- Chaos, Complexity, and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00