Key points are not available for this paper at this time.
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.
Building similarity graph...
Analyzing shared references across papers
Loading...
HARUKI ITO
Health Awareness (United States)
Building similarity graph...
Analyzing shared references across papers
Loading...
HARUKI ITO (Thu,) studied this question.
www.synapsesocial.com/papers/6a080af2a487c87a6a40d122 — DOI: https://doi.org/10.5281/zenodo.20174224
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: