Abstract

This paper locates standpoint in artificial systems at the level of internal state-space organization rather than in states or mechanisms. Building on a framework that distinguishes a persistent internal context (the Experiential Vector, EV) from the space of its possible configurations (the Computational Experiential Manifold, CEM), it argues that standpoint arises only when internal dynamics form a closed internal loop. One such loop is articulated here: internal activity incrementally updates the EV, trajectories through the CEM structure the space of possible internal stances, and the system’s current position is decoded as a global modulation of subsequent processing. This framework shows how state-space geometry can be causally operative over time while remaining strictly structural, without commitment to representation, agency, or phenomenal consciousness.