The Tri-Mind Integration Theory: A Framework for Governance Based on Ethics, Morality, and Intelligence
Abstract
This article proposes the Tri-Mind Integration Theory (Sanshin Tōgō Riron), a governance framework grounded in three foundational cognitive dimensions derived from East Asian philosophical traditions: ethics (self-discipline), morality (social norms), and intelligence (causal understanding). The theory posits a fixed hierarchical relationship—ethics ≥ morality ≥ intelligence—arguing that self-regulatory capacity must precede social coordination, which in turn must precede strategic implementation. Building on critical engagement with Western political philosophy, the framework identifies structural limitations in existing theories regarding the measurement, cultivation, and institutionalization of governance-related capacities. In response, it advances concrete institutional proposals, including a modernized civil examination system and an advisory Intelligence Institute designed to support long-term policy reasoning beyond electoral cycles. Central to the theory is the concept of structural correspondence (taiō), which denotes alignment between individual cognitive capacities, institutional mechanisms, and stated governance principles. The article argues that contemporary democratic systems frequently fail to maintain such correspondence, resulting in systematic selection for strategic manipulation rather than integrated judgment. The framework further introduces a three-layer architectural model consisting of invariant cognitive foundations, adaptable institutional mechanisms, and context-responsive policy implementation. It generates falsifiable predictions regarding governance outcomes and outlines a long-term implementation pathway spanning multiple generations.
Fields of Study & Subjects
Public Administration and Political Analysis
Public Administration and Governance
Public Policy and Administration Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026
- Document type
- Preprint