Dynamic Agency Under Contextual Constraint

‍ A Self-Calibrating Information Model

Dynamic Agency is a theoretical model examining how human agency operates under changing contextual and informational conditions. Rather than treating agency as a fixed capacity, the model conceptualizes choice as occurring within a probabilistic, context-sensitive and state-sensitive operational range that may recalibrate across environments and over time.

The Self-Calibrating Information Model examines how informational availability, salience, accessibility, credibility, interpretability, and actionability affect the meaningful availability and relative weighting of alternatives. Choice occurs within this operational range and may subsequently contribute to the conditions governing later agency, providing a recursive account of how agency can remain meaningful while operating under constraint.

Manuscript under review.