Theoretical analysis demonstrates knowledge emergence via constraint dynamics on evolving relational manifolds, suggesting cognition operates through dual fast-and-slow geometric processes.
This paper proposes a philosophical model of knowledge and states it in field-theoretic terms. The proposal is that knowledge is constraint dynamics on an evolving manifold: at any time, a subject's admissible continuations are shaped by a structure of constraints, figurable as a surface whose stable regions are the subject's settled capacities; and the surface itself evolves, its evolution driven by the subject's couplings to what it is not, the environment, other subjects, and the condensed symbolic structures its history has deposited. Applying knowledge is the fast dynamics upon the surface; learning is the slow dynamics of the surface; and the two form one system, since applications leave records and records feed the couplings that reshape the surface. The setting is a combinatorial substrate of the kind that background-independent approaches to quantum gravity, group field theory among them, have developed as models of the emergence of a discrete spacetime, in which no arena is given in advance and structure is carried by the relations themselves; the substrate is used as a formal template, and no physical claim is made of the objects described. The paper works in two registers under an explicit discipline: a combinatorial base defines knowledge as the constraint structure on a subsystem's admissible continuations, proves that acquisition requires prior structure and that constraint structures pass between subjects only through the recipient's own continuations; a declared enrichment then introduces the manifold, the surface and the two-time dynamics, with each effective object anchored to a combinatorial counterpart, its anchored and its merely posited features separated, and its conditions of failure named. Inheritance, the coarsening and refinement of discrimination, and the reconstruction of the past are treated within the model. The paper is conceptual, preliminary and offered for revision: its scope, the considerations behind its modelling choices, its limitations, and its open questions are stated in dedicated sections, and its debts to prior work, from the epigenetic landscape to structural coupling, are conceded where they arise.
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Wanhong HUANG (2026) studied this question.
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