SΔϕ-35 — Minimal Closure Criteria for AGI: A Δϕ-Based Judgment Framework (v1.1)

This document proposes a closure-based judgment framework for Artificial General Intelligence within the SΔϕ Formalism. Rather than treating AGI as a vague destination, a matter of human equivalence, or a benchmark-based label, this paper reformulates AGI as a structured closure problem. Within SΔϕ, intelligence is not treated as a static possession, but as a phase-stabilized capacity for maintaining coherent transition across heterogeneous tasks, environments, and recursive updates. On this basis, AGI is evaluated not by appearance or rhetoric, but by the degree to which a minimal set of operational conditions has become closed. This paper introduces five minimal closure criteria for AGI judgment: Global…