KIS: A Question-Centric Protocol Architecture for Hierarchical AI Thought Control
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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-5.2, Gemini3.0Pro, PerplexityPro, Claude4.6) 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
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kis_paper.v5.pdf
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References
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