KIS: A Question-Centric Protocol Architecture for Hierarchical AI Thought Control
Authors/Creators
Description
We propose the Knowledge Innovation System (KIS), a five-tier hierarchical architecture for AI thought control that shifts the paradigm from answer-centric optimization to question-centric protocol design. The five tiers are: (1) Command, (2) Context, (3) Agent, (4) SuperAgent (question-space exploration with protocol-as-subject), and (5) Autonomous SuperAgent (self-revising protocol). We formalize tier distinctions using category theory (functors and natural transformations), lattice theory (join/meet on question spaces), and Jacobian eigenvalue analysis for dynamic cognitive mode selection. Adversarial validation across five AI systems (GPT-4o, Gemini, Perplexity, Claude) confirmed logical coherence, and a literature review found no equivalent unified protocol in the 2024-2025 research landscape. KIS is implemented as a 200,000+ character protocol with nine cognitive modes, pseudo-parallel processing, and a semantic fermentation model. We discuss implications for AGI cognitive architecture and propose an external computation engine for future implementation.
Keywords: AI thought control, question-centric design, meta-agent, category theory, lattice theory, protocol-as-subject, cognitive architecture, semantic fermentation, SuperAgent
Files
kis_paper.v2.pdf
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Additional details
Additional titles
- Translated title (Japanese)
- KIS: 問い中心パラダイムに基づくAI思考制御の階層的プロトコル設計
Dates
- Issued
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2026-02-18
References
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