Preface: On Ontological Constraints, Proof, and the Architecture of Sustainable Intelligence (AGDAU)

This record publishes a concise, standalone preface that motivates the AGDAU principle in strictly engineering terms. Complex intelligent systems are evaluated here not by raw capability, but by the provability of admissible behavior in real institutional environments. The text frames AGDAU as an ontological constraint on the space of admissible actions—a structural approach that excludes destructive trajectories by construction, rather than relying on post-hoc control, behavioral alignment, or moral persuasion. The preface is intentionally non-ideological and non-moral. It is written to be compatible with diverse legal and governance traditions, emphasizing formalizability, verifiability, reproducibility, and pass/fail criteria. This document is suitable as front matter for longer technical papers, standards drafts, or policy-facing engineering briefs. Files included PDF (typeset) Plain-text source (TXT) Abstract This work introduces AGDAU, an ontological constraint framework for intelligent systems, formulated as a necessary condition for long-term sustainability. Rather than addressing safety, alignment, or governance at the level of behavior, objectives, or control mechanisms, AGDAU restricts the effective action space of a system by excluding trajectories incompatible with sustained growth. The framework is explicitly non-ideological and non-moral, focusing instead on formalizability, provability, and architectural enforceability. AGDAU is presented as an engineering-compatible principle applicable across technological, legal, and institutional domains. Keywords AGDAU; ontological constraints; AGI safety; action-space restriction; sustainable intelligence; system architecture; provable safety; long-term stability; decision theory; governance of intelligent systems Notes Author: Aslanbek Yurievich Khamikoev Document type: Preface / front matter (standalone preprint) Claim scope: AGDAU is presented as a necessary condition, not a sufficient solution to all systemic risks.