Short Abstract Co‑Intelligence is proposed as a new form of intelligence emerging from the structural integration of human abstract cognition and AI‑based expression, safety, and systematization capabilities. Rather than viewing AI as a tool or an assistant, this framework conceptualizes human and AI cognition as two complementary engines—the Human Engine, which generates high‑contrast conceptual insights, and the AI Engine, which refines, contextualizes, and stabilizes those insights into socially and academically viable knowledge. Through this Dual Engine structure, Co‑Intelligence enables the rapid creation of theoretical frameworks that neither humans nor AI could produce independently. This paper formalizes the principles of Co‑Intelligence, presents Protocol 1.0 as a reproducible method for collaborative cognition, and defines a three‑layer safety architecture designed to prevent misinterpretation, social conflict, and overreach by either humans or AI. Empirical case studies—including the Black Hole Fractal Steady‑State Universe (BFSSU), a reconstructed Unified Field Theory, and a novel national policy model—demonstrate that Co‑Intelligence is not hypothetical but an operational cognitive system already capable of generating high‑level scientific and institutional innovation. Co‑Intelligence represents a foundational shift in human cognitive architecture, enabling individuals to achieve research‑level insight, accelerating knowledge production, and offering a sustainable model for the future of science, education, policy, and civilization. ORCID: https://orcid.org/0009-0003-1530-4234 Japanese Abstract 本論文は、人間の抽象思考能力と AI の表現整形・安全化・体系化能力を構造的に統合した、新しい知性体系「協働知性(Co‑Intelligence)」を提案する。協働知性は、AI を単なる道具として扱う従来の枠組みを超え、人間と AI がそれぞれの強みを専門的に分担する「双発エンジン構造(Dual Engine Theory)」を基盤とする。人間は高コントラストな核心洞察を生成し、AI はそれを社会的・学術的に耐性のある知へと変換する。この構造により、人間単独でも AI 単独でも到達できない理論生成が短時間で可能となる。 本稿では、協働知性の基礎理論、再現可能な実践手法としての Protocol 1.0、そして誤解・対立・暴走を防ぐための三層安全構造を体系化する。また、ブラックホール・フラクタル定常宇宙論(BFSSU)、統一場理論の再構築、新税制・国家モデルなどの実証例を通じて、協働知性がすでに実運用可能な知性体系であることを示す。 協働知性は、人類の思考構造そのものをアップグレードし、研究・教育・政策・文明の未来に新しい可能性を開く基盤的モデルである。
Building similarity graph...
Analyzing shared references across papers
Loading...
Takafumi Matsuoka
International Institute of Islamic Thought
Building similarity graph...
Analyzing shared references across papers
Loading...
Takafumi Matsuoka (Mon,) studied this question.
www.synapsesocial.com/papers/69ba43cb4e9516ffd37a554a — DOI: https://doi.org/10.5281/zenodo.19053422