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Knotted Minds: Knot Theory as a Framework for Modelling Psychological Dynamics

Ioannis Diamantis, Sanae Okamoto

Theory & Psychology | Oct 24, 2026

Abstract

Abstract

This article develops a conceptual framework connecting knot theory with the study of recurrent psychological dynamics. Building on the relational and dynamic foundations of Kurt Lewin’s topological psychology, we examine whether knots, links, braids, and their invariants can provide a structural language for describing persistent patterns of thought, affect, and behaviour. We distinguish three levels of the proposal: knot language as metaphor, longitudinal psychological processes as trajectories in a theoretically specified state space, and recurrent trajectories as formal knot-theoretic objects. To demonstrate this progression, we develop a worked case grounded in cognitive and metacognitive accounts of generalized anxiety disorder. Primary worry, meta-worry, and control or safety responses define the coordinates of a psychological state space in which intensive longitudinal observations may generate recurrent trajectories. A controlled synthetic comparison shows that trajectories with the same coordinate-wise means and standard deviations can nevertheless differ in their global topological organization. We specify the recurrence, closure, and stability conditions required for knot-theoretic classification and derive testable implications concerning symptom persistence, relapse, and treatment-related structural change. Knot theory is not proposed as a replacement for psychological explanation, but as a complementary method for examining whether recurrent psychological trajectories differ only in intensity and timing or instantiate structurally different patterns of organization.

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Authors

Researchers on this paper

Ioannis Diamantis

first | Maastricht University | ORCID 0000-0003-4483-4237

Sanae Okamoto

last | Maastricht University

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Citation

BibTeX

@article{Diamantis2026Knotted,
  title = {Knotted Minds: Knot Theory as a Framework for Modelling Psychological Dynamics},
  author = {Ioannis Diamantis and Sanae Okamoto},
  journal = {Theory & Psychology},
  year = {2026},
  doi = {10.31234/osf.io/hj8y9_v1},
  url = {https://doi.org/10.1177/09593543261491917}
}

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