{
  "abstract": "-Shamiul Hoque Shan\n\nThis paper introduces the Variadaptive Principle (TVP) as a proposed analytical frame-\n\nwork for examining how systems change, persist, or reorganize under internal dynamics,\n\nfunctional interactions, environmental conditions, and constraints. Its central methodologi-\n\ncal correction is to avoid treating information acquisition, data processing, observation, or\n\nfeedback as universal prerequisites for system change. Such processes may be important in\n\nparticular systems, but other systems may be governed primarily by physical interactions, en-\n\nergy or material exchange, predetermined operations, internal dynamics, structural relations,\n\nor external interventions.\n\nThe framework distinguishes state transition from adaptation and adaptation from im-\n\nprovement. It organizes analysis around system configuration, functional activity, interaction,\n\ntransition, consequences, and explicit evaluation criteria. A conditional mechanism taxon-\n\nomy, three complementary analytical layers, agentic and automatic branches, mathematical\n\nrepresentations, a simulation protocol, falsifiable hypotheses, boundary conditions, and thirty\n\nproposed conceptual test cases are presented. The framework does not assume that all\n\nmechanisms occur in every system, that repeated operations necessarily improve performance,\n\nor that system complexity alone determines the required number of repetitions.\n\nThe manuscript is a conceptual and methodological proposal. It does not claim empirical\n\nvalidation, proof of universality, or novelty for every constituent mechanism. Its scientific\n\nvalue must be assessed through precise operational definitions, comparison with existing\n\nliterature, discriminating predictions, reproducible analyses, and attempts at falsification.",
  "abstract_shown": true,
  "affiliations": [
    "Independent Researcher"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Shamiul Hoque Shan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/amccs6y1xj2q4.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23623881",
  "fulltext_url": null,
  "id": "amccs6y1xj2q4",
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  "landing_url": "https://zenodo.org/records/23623881",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
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  "pdf_url": "https://zenodo.org/api/records/23623881/files/The_Variadaptive_Principle__TVP_.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/amccs6y1xj2q4.ris",
  "sources": [
    {
      "first_seen": "2026-11-07T12:20:26Z",
      "native_id": "23623881",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23623881"
    }
  ],
  "subjects": [],
  "title": "The Variadaptive Principle (TVP): A General Framework for Variation-Responsive Functional Change, System Transitions, and Conditional Adaptation",
  "title_text": "The Variadaptive Principle (TVP): A General Framework for Variation-Responsive Functional Change, System Transitions, and Conditional Adaptation",
  "type": "preprint",
  "updated_at": "2026-11-07T12:20:26Z",
  "url": "https://research.draconitic.com/paper/amccs6y1xj2q4",
  "venue": "Zenodo",
  "versions": []
}