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The aim is to present SCF v2 as a formal model for understanding behavior in probabilistic AI systems.

March 25, 2026Open Access

Structural Counterforce Framework (SCF v2): Formation Dynamics and Structural Governance in Probabilistic AI Systems

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The aim is to present SCF v2 as a formal model for understanding behavior in probabilistic AI systems.
Developed a formal model for behavior as trajectories within a probability field.
Defined a continuous dynamical system representing the formation axis (L1–L4).
Introduced counterforce as a mechanism for adaptability.
Created the Constraint Mapping Layer (CML) to separate dynamics from execution.
Governance can transition from reactive control to structural conditioning.
Behavior can be computed before it is observable.

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This work introduces SCF v2 to model behavior dynamics in probabilistic AI systems, suggesting a new approach for governance.

Tuan M. Nguyen (2026) studied this question.

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