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README.md

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# K. Takahashi Academic and Scientific Research Hub
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This repository hosts a personal academic and scientific research hub website.
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It publishes and curates original research by K. Takahashi in AI safety/alignment, no-meta governance, self-organizing systems, and computational philosophy.
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It publishes and curates original research by K. Takahashi in AI safety/alignment, no-meta governance, and auditable autonomous intelligence.
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Keywords: academic website, scientific research hub, AI safety, AI alignment, no-meta governance, self-organizing systems, computational philosophy, machine-readable metadata.
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Keywords: academic website, scientific research hub, AI safety, AI alignment, no-meta governance, auditable autonomous intelligence, machine-readable metadata.
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## Canonical URLs
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- Autonomous and auditable AI systems
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- AI safety and alignment under no-meta governance
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- Self-organizing and self-improving intelligence
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- Computational philosophy and formal theory
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- Formal theory of intelligence
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## Main Pages
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index.html

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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>K. Takahashi | Academic and Scientific Research Hub for Auditable No-Meta AI</title>
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<meta name="description" content="Official research hub of K. Takahashi. Publications on AI safety, no-meta governance, self-organizing systems, and computational philosophy with DOI-linked works, JSON-LD metadata, RSS, and crawler-friendly structure.">
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<meta name="keywords" content="K Takahashi, AI safety, AI alignment, no-meta governance, auditable AI, first-principles formalization of intelligence, persistent semantics, ontology drift, dynamic IQC, proof-carrying verification, self-organizing systems, computational philosophy, research hub, publications, Zenodo">
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<meta name="description" content="Official research hub of K. Takahashi. Publications on AI safety, no-meta governance, and auditable autonomous intelligence with DOI-linked works, JSON-LD metadata, RSS, and crawler-friendly structure.">
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<meta name="keywords" content="K Takahashi, AI safety, AI alignment, no-meta governance, auditable AI, first-principles formalization of intelligence, persistent semantics, ontology drift, dynamic IQC, proof-carrying verification, research hub, publications, Zenodo">
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<meta name="author" content="K Takahashi">
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<meta name="robots" content="index,follow,max-image-preview:large,max-snippet:-1,max-video-preview:-1">
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<meta name="googlebot" content="index,follow,max-image-preview:large,max-snippet:-1,max-video-preview:-1">
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"@id": "https://kadubon.github.io/github.io/#website",
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"url": "https://kadubon.github.io/github.io/",
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"name": "K. Takahashi Academic and Scientific Research Hub",
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"description": "Official research hub of K. Takahashi for AI safety, no-meta governance, self-organizing systems, and computational philosophy.",
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"description": "Official research hub of K. Takahashi for AI safety, no-meta governance, and auditable autonomous intelligence.",
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"inLanguage": "en",
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"publisher": {
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"@id": "https://kadubon.github.io/github.io/#person"
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"Dynamic IQC",
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"Proof-Carrying Verification",
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"Deterministic Replay",
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"Self-Organizing Systems",
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"Computational Philosophy",
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"Category Theory",
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"Free Energy Principle"
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],
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<header>
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<div class="intro">
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<h1>K. Takahashi</h1>
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<p>Academic and scientific research hub for auditable no-meta AI, self-organizing systems, and computational philosophy.</p>
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<p>Academic and scientific research hub for auditable no-meta AI and autonomous intelligence.</p>
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<div class="researcher-ids">
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<p>ORCID: <a href="https://orcid.org/0009-0004-4273-3365" target="_blank" rel="noopener noreferrer">0009-0004-4273-3365</a></p>
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<p>Google Scholar: <a href="https://scholar.google.com/citations?view_op=list_works&amp;hl=ja&amp;hl=ja&amp;user=0iEnSjkAAAAJ" target="_blank" rel="noopener noreferrer">Profile</a></p>
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<li>Observable-only and no-meta governance for AI safety</li>
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<li>Auditable control and verification protocols for autonomous systems</li>
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<li>Information-theoretic foundations of persistent semantics and ontology drift</li>
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<li>Self-organizing intelligence, category-theoretic structure, and computational philosophy</li>
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<li>Category-theoretic structure and formal foundations of intelligence</li>
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<li>First-principles formalization of intelligence using information theory, geometry, and controllability constraints</li>
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<li>Robust bottleneck diagnosis from public data via no-meta dynamic programming, anytime confidence sequences, and dynamic IQC</li>
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<li>Fail-closed verification pipelines with deterministic replay, canonical logs, and audit certificates</li>

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