Desire as Orientation Error II: Autonomy, Intelligence, and Reference Frames in Artificial Systems

Description This paper extends the framework introduced in Desire as Orientation Error I and applies it to artificial intelligence systems. Within Expanded Relativity Theory (ERT), desire is reframed as the Detection of Reference Absence (DRA), a structural signal indicating the lack of orientational reference within a system. The paper argues that autonomy and coherent machine intelligence require stable reference frames before optimization can occur. Systems that optimize local signals without establishing orientational anchors are structurally heteronomous and prone to systemic geometric drift. The work examines the implications of this principle for artificial intelligence architectures and proposes that orientation must precede optimization in order to maintain coherent relational navigation within complex systems. This paper forms part of the Expanded Relativity Theory research series exploring orientation, reference frames, and systemic stability across cosmology, intelligent systems, and governance architectures.