The Geometry of Emergence: How Constraints Stabilize New Regimes

This paper develops a unified relational structural (RS) account of emergence that resolves long‑standing tensions in philosophy of science, complexity theory, and multi‑scale modeling. Traditional approaches treat systems as collections of discrete objects whose intrinsic properties and interactions must explain all higher‑level behavior. Within this ontology, emergence appears either trivial (weak emergence) or metaphysically mysterious (strong emergence).
The RS framework reframes the problem by treating relations as primary and objects as stable relational regimes. On this foundation, emergence is defined as the formation of new relational invariants when a system’s constraints stabilize into a coherent regime. This mechanism—constraint → coherence → regime formation—explains how higher‑level patterns arise, why they exhibit stability, and how they exert causal influence without violating micro‑dynamics.
The paper illustrates this geometry across physics, biology, cognition, social systems, and artificial intelligence. It shows how macroscopic laws, homeostasis, neural attractors, social norms, and emergent model capabilities all arise from the same structural process. The framework dissolves the weak/strong emergence distinction, clarifies downward causation, and situates computational irreducibility as a transitional property of systems lacking coherent relational structure.
By grounding emergence in relational geometry rather than object‑based metaphysics, this work provides a domain‑agnostic vocabulary for multi‑scale science and a structural foundation for future research on regime formation, stability, and collapse.