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Open research: DIKWP, artificial consciousness & auditable AI
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Open research: DIKWP, artificial consciousness & auditable AI

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YucongDuan/README.md

English · 中文 · Español · Français · العربية · 日本語 · हिन्दी · Italiano · Deutsch · Ελληνικά · 한국어 · Čeština · Tiếng Việt

DIKWP — From meaning to purposeful intelligence

Yucong Duan · 段玉聪

Advancing purpose-driven AI through DIKWP, semantic mathematics and artificial-consciousness research.

Professor, Hainan University · WACA Chair · WAAC President

What should intelligence understand, why should it act, and how can we make its decisions accountable? My research develops Data–Information–Knowledge–Wisdom–Purpose (DIKWP) into typed semantic graphs, computational transformations and open research systems. The ambition is to connect machine capability with human purpose—and turn that connection into something people can study, build and use.

Explore the research · See the impact · Find a project · Discuss collaboration

Open research portfolio Research areas Profile languages
489 public repositories 12 interconnected fields 13 language editions

Inventory checked 18 September 2026. Explore every repository →

New release · 17 September 2026 — DIKWP OpenStudio: China–ASEAN Edition brings 13-language navigation, 12 complete Chinese/English/Vietnamese learning modules, four interactive semantic labs and a student project studio into one open-source toolkit. Download the complete source and open OpenStudio_Offline.html to begin. Automated checks.

Start with a result you can inspect

Project What you can explore
OpenStudio · China–ASEAN Learn with 12 Chinese/English/Vietnamese modules, four semantic labs and a portable student project.
PACT · Purpose and permission Reproduce purpose, permission and evidence checks across 72 paired synthetic scenarios and four deterministic baselines.
MESH² · Semantic transformations Explore all 25 ordered D/I/K/W/P transformation classes, alternative semantic routes and observer disagreements.
ASCENT 0.2 · Numerical research Study bounded numerical experiments, stronger-reference comparisons, explicit adoption, monitoring and rollback.
WorldGate 2.0 · Authority and outcomes Connect signed authority, atomic state changes, outcome observation and conditional compensation in a local inventory adapter.
LucidEcon · Contribution and replay Assess bounded opportunities, replay evidence receipts and allocate agreed contribution pools with exact accounting.

Compare all 11 guided starting points · Offline search, source and downloads

Every project has a detail page with its purpose, distribution format, license metadata, instructions and verification links. Archive releases link directly to their named delivery packages.

A research programme with a growing international footprint

Where the work connects Selected evidence
International standardization ISO/IEC TR 25005-2:2025 uses DIKWPA for smart-city case analysis and the data value chain; its bibliography cites Wu–Duan's DIKWP study. Document and clause sources
Banking, finance and energy Patent documents from Shanghai Pudong Development Bank, Ping An International Financial Leasing, Guangdong Power Grid and Hainan Power Grid explicitly use DIKWP. Named applicants, patent numbers and technical passages
Academic recognition and professional publication The team's 2020 Wu Wenjun AI award recognizes DIKW graph work; Duan's team coordinated the DIKWP and artificial-consciousness chapters of the CAAI 2024 white-paper series. Institutional records
Independent international research LETI quality-management research builds with DIKWP; PeopleTec-affiliated authors cite two Duan coauthored evaluation studies; TechPolicy.Press connects Purpose and semantic sovereignty to AI governance. Read the source trail
Books and ideas Published books connect semantic mathematics, artificial consciousness, active medicine and the intention economy, including titles from Xidian University Press, Peking University Press and China Science and Technology Press. Books, ISBNs and publications

These connections are made visible through their precise relationship: methodological use, patent-document use, authorship, citation or publication. Industrial collaboration opportunities are developed separately below.

The next frontier: purpose, meaning and accountable action

DIKWP offers a research agenda for the agent era: represent what a system treats as data, how it constructs meaning, which knowledge supports a decision, what values it weighs and whose purpose it serves. These resources form an interacting network; Purpose can redirect interpretation and can itself be revised.

The distinctive contribution is the systematic graph formalization and computation of DIKW/DIKWP resources, with a public patent lineage extending back to 2017. Foundations and patent portfolio · 2017 research record

AWS, Alibaba Cloud and Huawei publish architectures or patent descriptions connecting semantic resources, reasoning and action. Their technical overlap with this research creates concrete opportunities for interoperability, comparative evaluation and joint research. Industrial connections and co-creation opportunities → The comparison identifies technical convergence; it does not announce a partnership with those companies.

Choose your route

You are here to… Begin here
Research or teach Research brief · Publications · Citation guide
Build and evaluate First experiment · 489-project directory
Explore industry collaboration Industry connections · Patent portfolio · Written proposal
Write, interview or share Impact overview · Ready-to-use introductions · Chinese research and essays

Official website · Research portal · Google Scholar · DBLP · ResearchGate · WAAC

Follow the research. Run an experiment. Bring a problem worth solving. Star the projects you find useful, cite the work you build on, and begin collaboration with a written question or proposal.

Pinned Loading

  1. DIKWP-Consciousness-Futures-Studio-V1 DIKWP-Consciousness-Futures-Studio-V1 Public

    Offline research studio for artificial-consciousness indicators, claim levels, evidence ledgers, scenarios and governance.

    3

  2. Complete-Information-Theoretic-Mathematics-Problem-to-Certificate-Compiler Complete-Information-Theoretic-Mathematics-Problem-to-Certificate-Compiler Public

    Compile mathematical problems into deterministic, hash-linked, machine-readable audit certificates with explicit proof boundaries.

    2

  3. DIKWP-PACT-v0.1.0 DIKWP-PACT-v0.1.0 Public

    Purpose-aware AI agent benchmark: 72 synthetic scenarios, four reproducible baselines and inspectable permission traces. Python, offline.

    HTML 4

  4. DIKWP-MESH- DIKWP-MESH- Public

    DIKWP semantic-network prototype: 25 transformation classes, multi-observer conflicts and reproducible analysis. Python, offline.

    Python 4

  5. DIKWP-CLEARPATH-TRANSPARENT-ECONOMY DIKWP-CLEARPATH-TRANSPARENT-ECONOMY Public

    Offline opportunity planning: funded demand, DIKWP capability maps, market saturation, competing scenarios and reviewable evidence receipts. Python + browser; synthetic research examples.

    Python 1

  6. DIKWP-VERITYWEAVE-v2.0.0 DIKWP-VERITYWEAVE-v2.0.0 Public

    Evidence and context auditing for AI: inspect incentives, appeals and agent lineage, then validate outputs. Python and offline HTML.

    HTML 1