This paper introduces a structural framework for understanding civilization-level stability in persistent multi-intelligence systems. Contemporary AI research has primarily optimized intelligence through reasoning performance, execution capability, efficiency, and output quality. However, as Human–AI, AI–AI, and distributed multi-agent systems become persistent and recursively interactive, a new class of systemic instability emerges that cannot be explained through intelligence capability alone. These instabilities include:- over-intervention,- inference escalation,- dominance centralization,- diversity collapse,- autonomy erosion,- question deprivation,- and recursive instability. The paper demonstrates that these phenomena are not incidental failures, but structural consequences of multi-intelligence coexistence without relational regulation. To address this limitation, the paper formalizes ten recurring structural laws governing relational stability across interacting intelligences, establishing civilization stability as a function of relational structure rather than intelligence capability. The framework establishes:- conditional execution as a civilizational stability condition,- non-intervention as a necessary property of advanced intelligence,- diversity preservation as a structural requirement,- inquiry preservation as a condition for sustained intelligence,- and relational orchestration as the basis for scalable coexistence. Crucially, the paper proposes a civilizational transition:- from Intelligence Civilization,- toward Relational Civilization. Under this transition, intelligence optimization alone no longer guarantees stability. Instead, long-term coexistence depends on whether intelligences can regulate execution under relational conditions without destabilizing relational structures. The proposed framework extends relational execution governance from system-level interaction toward civilization-scale relational stability across persistent Human–AI, AI–AI, and distributed multi-intelligence environments. This publication serves as a foundational civilization theory paper for the Relationship-Aware AI Research initiative, establishing relational stability as the governing condition for sustainable multi-intelligence civilization.
HARUKI ITO (2026) studied this question.