{
  "abstract": "Computational systems increasingly rely on multiple interaction mechanisms and internal representations of the environments in which they operate. Interaction mechanisms enable components to exchange information, aggregate evidence, negotiate constraints, evaluate candidate solutions, and coordinate collective decisions. World models, in contrast, represent aspects of an environment and support the prediction of its possible states, transitions, and consequences under alternative actions. Although both capabilities have been investigated extensively, their coordination creates an additional computational problem: how should a system adaptively organize its interaction mechanisms in relation to its current world model, and how should the outcomes of those interactions influence the subsequent construction, evaluation, and revision of that model?\n\nThis paper proposes the Mutual-and-Mutual-and-World Model (MMWM), a general computational framework for adaptive coordination between multiple mutual interaction mechanisms and world-state modeling. MMWM extends the interaction-level perspective of the Mutual-and-Mutual Model by explicitly introducing a world-modeling component that represents environmental states, predicts state transitions, estimates uncertainty, and evaluates possible outcomes. The framework treats interaction organization and world-state modeling as coupled but distinguishable computational processes. Interaction mechanisms can provide complementary observations, competing hypotheses, corrections, and verification evidence for world-model construction. Conversely, the world model can guide mechanism selection by estimating environmental uncertainty, predicted consequences, information needs, and the expected value of alternative interaction procedures.\n\nThe framework is formalized through a world-state representation, an interaction-mechanism space, a mechanism compatibility model, a world-model update operator, a joint adaptive selection policy, and a feedback-driven coordination process. It distinguishes interaction-mechanism selection, mechanism composition, world-model updating, world-model-guided interaction, and joint reconfiguration as separate computational decisions. A reference algorithm and conditional theoretical propositions are presented to clarify the framework's assumptions and potential properties. An experimental program is proposed to evaluate MMWM against fixed interaction mechanisms, fixed world models, independently adaptive interaction and modeling systems, and existing world-model-based planning or coordination methods.\n\nMMWM is intended as a general organizational abstraction for investigating how computational systems can coordinate interaction-level adaptation with environment-level representation and prediction. Its practical value, theoretical distinctiveness, and generality require formal analysis, comparison with existing approaches, and reproducible empirical validation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Jincheng Zhang",
      "orcid": "0009-0005-1860-0009"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bmv2k3w28915g.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23433323",
  "fulltext_url": null,
  "id": "bmv2k3w28915g",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23433323",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23433323/files/The%20Mutual-and-Mutual-and-World%20Model.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-17",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bmv2k3w28915g.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:31Z",
      "native_id": "23433323",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23433323"
    }
  ],
  "subjects": [],
  "title": "The Mutual-and-Mutual-and-World Model: A General Computational Framework for Adaptive Coordination Between Interactive Mechanisms and World-State Modeling",
  "title_text": "The Mutual-and-Mutual-and-World Model: A General Computational Framework for Adaptive Coordination Between Interactive Mechanisms and World-State Modeling",
  "type": "preprint",
  "updated_at": "2026-10-31T12:21:31Z",
  "url": "https://research.draconitic.com/paper/bmv2k3w28915g",
  "venue": "Zenodo",
  "versions": []
}