Professor and Doctoral Supervisor, Hainan University
Chair, World Artificial Consciousness Association (WACA)
President, World Academy for Artificial Consciousness (WAAC)
Evidence map · ISO/IEC standardization · CAAI white paper · Media coverage · Independent patents · Academic impact · Conference leadership · Research map · Start with code · 中文简介
I study how Data, Information, Knowledge, Wisdom, and Purpose (DIKWP) can be represented as distinct but transformable semantic resources—and how those transformations can be made visible, testable, revisable, and accountable.
This GitHub account is a public research workshop. It connects foundational work on DIKWP with executable systems for artificial-consciousness research, trustworthy AI agents, reconstructive memory, semantic mathematics, education, and long-horizon human–AI futures.
Working loop: D → I → K → W → P → action → evidence → revision
The aim is not to turn a framework into an unquestionable authority. The aim is to expose assumptions, provenance, translation loss, competing models, decision boundaries, and contact with reality.
| Portal | Primary entry | What visitors can explore |
|---|---|---|
| Google Scholar | View publications and citation trails → | A public, continuously updated view of publications, citations, co-authors, and related scholarship. |
| Google Patents | Explore the inventor-search portfolio → | Patent documents associated with the inventor name 段玉聪, including families, legal events, classifications, and cited prior art. |
| ResearchGate | Open Yucong Duan's research profile → | Publications, research questions, project updates, citations, and academic exchange. |
| WAAC | Enter the World Academy for Artificial Consciousness → | Artificial-consciousness research, academicians, conferences, collaborations, news, and institutional initiatives. |
| WACA | Enter the World Artificial Consciousness Association → | Association mission, committees, activities, and international initiatives around artificial consciousness. |
| Official website | Visit yucongduan.org → | Full bilingual profile, research-team news, awards, conference history, and current initiatives. |
| Hainan University | Open the university profile → | Institutional appointment, research directions, teaching, and contact information. |
DIKWP has progressed from an originating research framework into the methodological body of an international technical report. ISO/IEC TR 25005-2:2025, published in October 2025, defines DIKWPA as Data–Information–Knowledge–Wisdom–Purpose–Action and explicitly connects its core structure to the DIKWP model.
| Verified layer | Public evidence | What it establishes |
|---|---|---|
| Official publication | ISO: ISO/IEC TR 25005-2:2025 → | The ISO/IEC technical report on smart-city data-use case analysis is published as Edition 1 (2025). |
| Methodological adoption in the standard body | Public standards preview: §6.2 and §7.1 → | §6.2 adopts DIKWPA as the framework for analysing smart-city data-use cases; §7.1 selects it as the theoretical foundation for constructing the smart-city data value chain. This is stronger than a bibliography-only citation. |
| Downstream practice connected to the report | 数梦工场 / 数美科技 implementation report → | The company report states that seven Zhejiang smart-city practices supported by 数梦工场 and 数美科技 were included among the report's 23 selected cases, connecting the standard framework to concrete data-governance settings. |
Precise impact statement: DIKWP's Purpose-centred semantic structure is carried forward into DIKWPA through the addition of Action. ISO/IEC TR 25005-2:2025 uses that extended structure as both an analysis framework and a data-value-chain foundation. This establishes methodological uptake in an ISO/IEC publication; it does not imply ISO endorsement of every DIKWP-related product, patent, organization, or claim.
中文概括： DIKWP 的“目的（Purpose）”层及其语义结构进一步扩展为加入“行动（Action）”的 DIKWPA。ISO/IEC TR 25005-2:2025 不只是提及该结构，而是在第 6.2 节将 DIKWPA 用作智慧城市数据利用案例的分析框架，并在第 7.1 节将其选为数据价值链的理论基础。这构成了可公开核验的方法论采用证据。
Yucong Duan's work connects DIKWP theory, artificial consciousness, semantic mathematics, auditable AI, and executable open research systems. Its influence can now be inspected across six mutually reinforcing layers: scholarly publication and citation, an extensive source-team patent portfolio, DIKWP/DIKWPA methodological adoption inside ISO/IEC TR 25005-2:2025, professional-society publication through the China Association for Artificial Intelligence (CAAI) white-paper series, independent patent filings by external applicants in multiple industries, and international scholarly reuse beyond the originating author team. Rather than relying on a static impact number, the links on this page expose the underlying records so that readers can inspect publications, patent families, standard text, applicants, domains, and technical continuity directly.
The official profile published for the 3rd World Conference on Artificial Consciousness reports 300+ papers, 11 monographs, 400+ first-inventor patent applications, 120+ granted Chinese and international invention patents, and inclusion in the Stanford/Elsevier global top-2% scientist lists for four consecutive years. Read the source profile and conference record →
China Association for Artificial Intelligence white paper: The CAAI series published 2024 China Artificial Intelligence Series White Paper — Artificial Intelligence Foundations: Selected Topics /《人工智能基础选编》. Hainan University's official authorship record states that Yucong Duan and his team coordinated the first two chapters: Chapter 1 systematically develops DIKWP theory, while Chapter 2 focuses on artificial intelligence, artificial consciousness, and their relationship to DIKWP. This is authoritative professional-society publication with source-team authorship—not an independent replication, a national standard, or evidence of society-wide consensus.
中国人工智能学会系列白皮书： 中国人工智能学会发布的《2024中国人工智能系列白皮书——人工智能基础选编》第一章以 DIKWP 基础理论为核心，第二章专门讨论人工智能、人工意识及其与 DIKWP 的关联。海南大学官方记录明确指出，段玉聪带领团队统筹前两章撰写。这构成了权威专业学会出版与传播证据，但不应扩大为独立复现、国家标准或学会全体共识。
段玉聪的研究影响力不仅体现在论文、引用与专利数量上，也体现在从理论提出、系统实现、开源验证到国际学术组织与会议平台建设的连续链条。上方入口保留了可公开核验的出版、引用、专利与机构记录，便于研究者直接追溯，而不是依赖单一宣传口径。
Independent international uptake: A 2026 quality-management study by Margarita V. Medvedeva of Saint Petersburg Electrotechnical University “LETI” cites Duan-team DIKWP research and integrates DIKWP with Quality 4.0, GOST R ISO 9001-2015, and GOST R ISO 9004-2019 to formalize human oversight of AI-generated decisions. Read the independent study →
Recognition in the international landscape of consciousness theories: In §9.4.8, “Mathematical theories,” of Robert Lawrence Kuhn's peer-reviewed A Landscape of Consciousness: Toward a Taxonomy of Explanations and Implications, the author explicitly presents Yucong Duan's mathematically based “BUG” theory of consciousness, discusses the view of mathematics as a language for identifying the structure, dynamics, information flow, and regularities of consciousness, and notes Duan's recognition of mathematics' limits. Inspect the accessible full-text section →
The China Association for Artificial Intelligence (CAAI) released 2024 China Artificial Intelligence Series White Paper — Artificial Intelligence Foundations: Selected Topics /《人工智能基础选编》 at the CAAI white-paper launch held during CCAI 2024 in Beijing. It provides a rare institutional bridge from DIKWP source research to a professional-society public knowledge resource.
中国人工智能学会在北京举行的 CCAI 2024 系列白皮书发布会上发布《人工智能基础选编》。这不只是“引用 DIKWP”，而是把 DIKWP 与人工意识放入专业学会系列白皮书的核心章节结构中，使源头理论进入面向研究者、实践者和公众人工智能素养建设的机构化知识载体。
| White-paper layer | Substantive content | Yucong Duan team's role and public evidence |
|---|---|---|
| Chapter 1 · DIKWP foundations | Compares the concepts, semantics, and definitions of Data, Information, Knowledge, Wisdom, and Purpose; develops conceptual, semantic, and cognitive spaces; introduces DIKWP graphs. | Hainan University's official report states that Duan led Guo Zhendong, Mei Yingtian, Tang Fuliang, Wu Kunguang, and Gong Shiming in coordinating Chapters 1–2. |
| Chapter 2 · AI and Artificial Consciousness | Distinguishes AI and AC definitions, examines artificial-consciousness foundations, complete semantics, consciousness processing in DIKWP, abstract semantics, and world understanding. | The chapter gives artificial consciousness substantive treatment inside the official CAAI series white paper, rather than reducing it to a short mention. |
| Institutional significance | Codifies DIKWP and artificial consciousness in a CAAI public reference designed to improve AI understanding and literacy. | Evidence grade I3: authoritative professional-society publication and dissemination; because the source team authored the chapters, it is not classified as independent replication, a national standard, or society-wide consensus. |
Why this matters / 影响力意义： The white paper connects four layers that are often fragmented—DIKWP definitions → semantic/conceptual/cognitive spaces → artificial-consciousness theory → public AI knowledge infrastructure. It therefore demonstrates not merely media visibility but institutional knowledge codification. / 白皮书把通常彼此割裂的四层内容连接起来：DIKWP 定义体系 → 语义/概念/认知空间 → 人工意识理论 → 公共人工智能知识基础设施。其意义不是单纯传播次数，而是专业学会层面的知识编纂与公共化。
| Research program | Yucong Duan's contribution | Public research and implementation path |
|---|---|---|
| Active Medicine / 主动医学 | Reframes medicine from predominantly reactive diagnosis and treatment toward a Purpose-driven loop of proactive inquiry, prevention, continuous semantic modeling, individualized intervention, feedback, and revision. | Fundamentals of Active Medicine / 主动医学概论 → · DIKWP Active AI for Active Medicine whitepaper → · national application-scenario competition record → |
| Semantic Sovereignty / 语义主权 | Extends digital sovereignty beyond control of infrastructure and data toward the ability and right of languages, cultures, values, knowledge systems, and Purpose to be represented and governed without opaque semantic displacement. | Public proposal to include Semantic Sovereignty in national AI strategy → · peer-reviewed Purpose-lifecycle and semantic-governance paper → · CCF conference record: Semantic Sovereignty and Purpose-driven vocational education → |
| Semantic Mathematics / 语义数学 | Builds formal, inspectable mappings among conceptual, semantic, cognitive, and expression spaces so that meaning transformations can be represented, constrained, traced, challenged, and revised—not left implicit inside symbols or model parameters. | Introduction to Semantic Mathematics / 语义数学概论 publication report → · peer-reviewed creative-AI and semantic-mathematics paper → · recognition in A Landscape of Consciousness → |
| DIKWP White-box Evaluation / DIKWP 白盒测评 | Evaluates AI not only by final answers but by inspectable D/I/K/W/P semantic capabilities and transformations, exposing where perception, information extraction, knowledge construction, wisdom, Purpose recognition, or alignment succeeds or fails. | Science and Technology Daily report on the 100-question LLM evaluation → · peer-reviewed DIKWP-WISE architecture → · open white-box EvalLab → |
| Year | Book | Publication record and contribution |
|---|---|---|
| 2026 | 《语义数学概论》 / Introduction to Semantic Mathematics | Xi'an University of Electronic Science and Technology Press, ISBN 978-7-5606-7893-1. Publication report →. Systematizes semantic mathematics around DIKWP and the bridge from symbols to meaning. |
| 2026 | 《意识简史》 / A Brief History of Consciousness | China Renmin University Press, ISBN 978-7-300-34543-7, 406 pages. Bibliographic record →. Traces consciousness from stimulus–response and sensory awakening to human, collective, and post-human forms. |
| 2025 | 《人工意识概论》 / Introduction to Artificial Consciousness | China Science and Technology Press, ISBN 978-7-5236-1318-4, with Lizhong Li. Library bibliographic record →. Presents DIKWP 5×5 evaluation, the consciousness BUG theory, and artificial-consciousness architecture. |
| 2025 | 《人工意识与人类意识》 / Artificial Consciousness and Human Consciousness | China Science and Technology Press, ISBN 978-7-5236-1405-1, with Hejun Xu. Library bibliographic record →. Connects DIKWP, IIT, global-workspace theory, neural systems, multi-agent co-evolution, ethics, medicine, and education. |
| 2025 | 《玩透 DeepSeek：认知解构＋技术解析＋实践落地》 | Peking University Press, ISBN 978-7-301-36393-5, with Mianmao Zhu, Yingtian Mei, and Xingmei Pang. Publication record →. Develops DIKWP white-box evaluation as a practical framework for model selection, diagnosis, optimization, and collaboration. |
| 2025 | 《主动医学概论：初级版》 / Fundamentals of Active Medicine | New Classic Press (UK), ISBN 978-1-917143-53-0, with Yu Feng. International bookseller record →. Establishes the introductory conceptual foundation for proactive, preventive, Purpose-aware medicine. |
| 2025 | 《智驾新纪元：AI标准引领未来交通》 | China Science and Technology Press, ISBN 978-7-5236-1784-7, with Lizhong Li. Bibliographic record →. Applies intelligent standardization and value-oriented analysis to autonomous driving and smart transportation. |
| Research front | Selected publication | Contribution |
|---|---|---|
| Consciousness-theory recognition | Robert Lawrence Kuhn, A Landscape of Consciousness, Progress in Biophysics and Molecular Biology 190 (2024), 28–169 | Independently includes Duan's mathematical BUG theory in its “Mathematical theories” taxonomy and discusses his mathematics-of-consciousness position. |
| Semantic security and controllability | Mei, Duan, Nguyen, A semantic security and controllability framework for DIKWP artificial consciousness oriented to external semantics, Knowledge-Based Systems 340 (2026), 115752 | Four interacting spaces, Purpose-driven DIKWP transformation, 3-No semantic handling, toxicity localization, and controllable LLM interaction. |
| Semantic mathematics and creative AI | Guo & Duan, Bridging Cognitive and Expression Spaces in Creative AI by Integrating DIKWP-TRIZ and Semantic Mathematics, Electronics 15 (2026), 963 | Connects cognitive, semantic, and expression spaces through formalized DIKWP transformations for creative AI. |
| Purpose lifecycle and semantic sovereignty | Chu, Duan & Wang, DIKWP-Driven Purpose Lifecycle Modeling and Semantic Path Construction, Computer Engineering 52(1) (2026), 86–94 | Models Purpose generation, updating, conflict regulation, traceability, semantic governance, value alignment, and sovereign AI. |
| Artificial consciousness in smart healthcare | Duan & Guo, DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems, Applied Sciences 15 (2025), 8508 | Integrates DIKWP agents with edge/cloud IoT for semantic reasoning, adaptive goal-driven responses, and privacy-aware decision-making. |
| Personalized semantic secure communication | A Review of Personalized Semantic Secure Communications Based on the DIKWP Model, Electronics 14 (2025), 3671 | Reviews networked DIKWP as a foundation for personalized semantic representation, transformation, communication, and security. |
| Purpose-driven invention | Wu & Duan, DIKWP-TRIZ: A Revolution on Traditional TRIZ Towards Invention for Artificial Consciousness, Applied Sciences 14 (2024), 10865 | Integrates DIKWP transformations, semantic mathematics, Purpose, ethics, and 3-No uncertainty handling into inventive problem solving. |
| Purpose-driven AGI | Duan, Bridging the Gap between Purpose-Driven Frameworks and Artificial General Intelligence, Applied Sciences 13 (2023), 10747 | Frames Purpose-driven DIKWP as a research program connecting semantic cognition, governance, and AGI. |
DIKWP has entered public discussion beyond source-team publications: as a purpose-aware alternative in international AI analysis, a white-box model-evaluation framework in national science reporting, a reference point for sovereign AI and data governance, and an applied architecture in learning and health systems. The entries below are grouped by reporting cluster so that republications of the same story are not counted as separate independent endorsements.
| Coverage class | Outlet and public record | What the coverage adds — and the boundary |
|---|---|---|
| Independent international analysis | Asia Times · Technology: Jan Krikke, “Compasses, not maps: China is building a different type of AI” → · DIKWP Framework topic page → | The July 2026 article independently names “Yucong Duan's DIKWP framework,” explains Purpose as the element that asks why inputs matter and which goals they serve, and places DIKWP in a broader analysis of adaptive Chinese AI systems. As of this audit, the dedicated tag page surfaces one article; this is independent editorial analysis, not a team-authored release or proof that all Chinese AI follows DIKWP. |
| Professional-society white paper | China Association for Artificial Intelligence / 中国人工智能学会: 2024 China Artificial Intelligence Series White Paper — Artificial Intelligence Foundations: Selected Topics → · Hainan University authorship report → | CAAI published the white paper in its official series. Duan and his team coordinated Chapters 1–2, covering DIKWP foundations and the DIKWP relationship to AI and artificial consciousness. This is authoritative society publication and institutional dissemination; because the originating team authored the relevant chapters, it is not counted as independent validation. |
| National science-news coverage | Science and Technology Daily / 科技日报: white-box DIKWP model-evaluation report → · republication/coverage by Xinhua →, China Economic Net →, and China Reading Weekly / 中华读书报 → | Reports the DIKWP-based 100-question white-box evaluation of major LLMs across perception/information, knowledge/reasoning, wisdom/problem solving, and Purpose recognition/adjustment. These links form one reporting-and-syndication cluster rather than four independent validations. |
| National public-affairs reference | People's Weekly / 人民周刊: “Strengthening Sovereign AI” → | An independently authored article cites Yucong Duan's technical-report definition of sovereign AI while discussing national AI infrastructure, culture, governance, talent, law, and international cooperation. This establishes public-policy discourse reach, not adoption of the full DIKWP stack by the outlet. |
| National event and data-governance coverage | Xinhua / 新华网: 5th China Data Elements 50 Forum → | Reports Duan's Global Digital Economy Conference presentation on DIKWP-based white-box evaluation, including the proposal to assess AI across perception, knowledge, wisdom, and Purpose. It verifies public presentation in a high-level data-governance forum; it is not an independent technical benchmark. |
| Chinese profile with official English adaptation | Hainan Daily / 海南日报: “Yucong Duan: Running on the AI Track” in Chinese → · Hainan University's English edition → | The profile explains the move from DIKW to Purpose-DIKWP, records the Wu Wenjun AI Science and Technology Award, and traces learning, storage–transmission–computation, free-trade-port, and patent applications. The English page is an institutional adaptation of the Chinese feature, not a second independent report. |
| Applied-system and competition coverage | China Internet Information Center / 中国网, sourced to Hainan Daily: DIKWP personalized gout-care system award → | Reports that the DIKWP team won second prize in the first national AI application-scenario innovation challenge, selected from 2,432 projects, for a personalized diagnosis–treatment–rehabilitation–prevention system. This establishes a competition result and presented application, not hospital-scale deployment or clinical validation. |
| Publishing and research-program coverage | China Publishing Media Business Paper / 中国出版传媒商报: “《语义数学概论》：重构语义世界的数学逻辑” → | Records the book's 2026 publication and introduces its DIKWP-based route from symbols and concepts to formal semantic construction. This is independent publishing-industry coverage, not peer review of the book's mathematical claims. |
| Official professional-society record | China Computer Federation / 中国计算机学会: “语义主权与意图驱动：DIKWP模型重塑职业教育新生态” → | Documents Duan's invited talk linking semantic sovereignty and Purpose-driven DIKWP with vocational-education governance. It verifies institutional dissemination, not independent evaluation or CCF-wide adoption. |
中文概括： 中国人工智能学会系列白皮书已把 DIKWP 基础理论及其与人工意识的关系纳入《人工智能基础选编》，并由段玉聪团队统筹前两章；国际层面，Asia Times 已在科技版独立讨论段玉聪提出的 DIKWP，并建立 “DIKWP Framework” 专题标签；国内层面，科技日报、新华社、《中华读书报》、中国经济网、《人民周刊》《海南日报》、中国网、《中国出版传媒商报》及 CCF 等分别从大模型白盒测评、主权 AI、数据治理、人物研究轨迹、医疗应用竞赛、语义数学与语义主权等角度形成了可追溯的公共传播链。这里按原始稿件与报道簇去重，并明确区分学会出版、媒体关注、技术验证和机构采用。
DIKWP is increasingly visible beyond academic papers: in product claims, applied GEO/AI-search practice, developer-community articles, ISO-linked implementation settings, independent patents, and public cloud or telecom architectures that combine DIKW with intention, goals, execution, and feedback. To keep this map credible, the table separates public use, public dissemination, structural convergence, and platform fit. Inclusion does not by itself establish a formal partnership, endorsement, patent licence, derivation, or legal conclusion.
Open the full bilingual DIKWP Impact Evidence Map → — dated audit, evidence ladder, source matrix, 13 independently screened patent records, ambiguity controls, and a contribution protocol.
| Evidence status | Company / institution | Public relationship to DIKWP | Evidence and boundary |
|---|---|---|---|
| Public application signal | 秒响应网络科技 | Public materials describe using a DIKWP knowledge-distillation framework for GEO / AI SEO, turning enterprise content into structures that AI systems can understand and cite. | Applied DIKWP article on Tencent Cloud Developer Community → · 秒响应网络 public content →. These pages evidence public use/reference; formal collaboration or licensing should be verified separately. |
| Direct product claim | InsuredAI.ca | The public site describes an AI-risk underwriting platform built on a patent-pending DIKWP framework. Its framework operationalizes five DIKWP layers across 40+ document slots, 10 scoring criteria per document, an eight-tier risk grade, premium estimation, referral flags, and audit reporting. | Open InsuredAI.ca → · Inspect the DIKWP framework →. This is strong public product-language and functional-implementation evidence. The pages do not identify Yucong Duan or disclose an attribution/licensing chain, so provenance remains pending clarification. |
| Public dissemination channel | Tencent Cloud Developer Community | Hosts an original contributor article that calls DIKWP the technical core of an applied GEO system. | Read the published article →. This is evidence of public dissemination on the platform, not a claim that Tencent Cloud officially adopted or endorsed DIKWP. |
| ISO-linked implementation ecosystem | 数梦工场 / 数美科技 | Publicly report technical support for seven Zhejiang smart-city practices included among the 23 cases analysed in ISO/IEC TR 25005-2:2025, whose analysis framework and data-value-chain foundation use DIKWPA. | Read the implementation report →. This connects DIKWP/DIKWPA standardization to implementation settings; it does not by itself establish a direct licence or partnership with Yucong Duan. |
| Public structural convergence — DIKW + user intention | Alibaba Cloud ApsaraDB / 瑶池, DMS Data Agent, DMS+X, Qwen / Bailian | Alibaba Cloud materials place DIKW at the centre of the data-platform model while explicitly describing the platform as understanding data, clarifying user intention, and integrating data resources. Later DMS Data Agent materials explicitly map the system to DIKW and generate an adjustable intention-execution plan; official-content DMS+X materials combine DIKW, intent recognition, data, and AI. This is one of the clearest publicly visible structures adjacent to DIKWP's Purpose/intention extension. | ApsaraDB: DIKW + intention + data integration → · DMS Data Agent: DIKW and intention-execution planning → · DMS+X official-content article → · DIKW in Alibaba Cloud observability → · First-figure evidence context →. The evidence supports strong structural convergence; no public attribution, licence, derivation, or formal Alibaba statement of Purpose-DIKWP adoption has been verified. |
| Public structural convergence — DIKW + intent-driven agents | AWS Semantic Layer for Agentic AI | Official AWS Prescriptive Guidance says DIKW inspired its layered architecture, extends it with an Intelligence tier, and realizes Wisdom through decision and action. The architecture then adds inferred user intent, intent classification, execution planning, knowledge graphs, GraphRAG, symbolic reasoning, provenance, and human-in-the-loop governance. | DIKW-inspired architecture → · Intent-driven orchestration →. This is a strong DIKWP-adjacent reference architecture; AWS names an Intelligence extension, not Purpose-DIKWP, and no derivation or attribution claim is made. |
| Public structural convergence — DIKW + multi-layer intent loops | TM Forum / China Mobile autonomous-network ecosystem | TM Forum's autonomous-network evaluation methodology refers to DIKW for cognitive maturity. The associated industry whitepaper combines DIKW-based maturity with user/business intent, service and resource layers, Intent APIs, system-instruction execution, feedback, and autonomous remediation. | Official TM Forum IG1252 → · Public industry whitepaper →. The whitepaper lists China Mobile, Huawei, Ericsson, Nokia, NTT, Vodafone, Verizon, ZTE, and many others as contributors; this does not mean every contributor implemented every component or formally adopted DIKWP. |
| Independent international scholarly uptake | Saint Petersburg Electrotechnical University “LETI” | A 2026 study by Margarita V. Medvedeva develops a DIKWP-based cognitive-maturity metamodel for quality management and human oversight of AI-generated decisions, explicitly citing Duan-team DIKWP research. | Read the journal record →. This establishes independently authored academic reuse and adaptation, not university-wide adoption or product deployment. |
| Official project record | Hainan University and multi-university student team | The university's 2025 “Challenge Cup” notice lists “主动医学——基于DIKWP图谱化的AI智能养康,” supervised by Yucong Duan and developed by students from multiple universities. | Open the official university notice →. This is project-level source-ecosystem implementation, not independent external adoption. |
| Source institution & patent implementation | Hainan University / DIKWP team | Public patent records connect DIKWP to executable methods including blockchain consensus, software-lifecycle evaluation, semantic resource recognition, intention computation, and multimodal transfer. | Example: DIKWP blockchain-consensus patent → · DIKW resource-recognition patent →. Consult each record for inventors, assignees, legal status, and scope. |
The records below were screened using two inclusion rules: (1) the published inventor list does not include Yucong Duan / 段玉聪; and (2) the patent text uses DIKWP as a model, graph, structured resource, semantic method, or functional module—not merely as a search hit. Together, they provide a publicly inspectable signal that DIKWP methods are diffusing beyond the originating inventor team.
| Application domain | Independent applicant / assignee | Public DIKWP implementation signal |
|---|---|---|
| Power-grid network security and user modelling | Guangdong Power Grid and Dongguan Power Supply Bureau; Hainan Power Grid Wenchang Bureau | CN116582360A builds device models that can be DIKWP/DIKW graph or database models for network-security assessment; CN116881772B establishes DIKWP models for power-user classification. |
| Supply-chain finance | Shanghai Pudong Development Bank | CN119917594A converts message content into a DIKWP resource body and generates a DIKWP graph for supply-chain finance data processing. |
| Financial documents and investment | Ping An International Financial Leasing; Hainan Gangao Information Industry | CN120688465A applies DIKWP semantic-mathematical analysis to text auto-filling; CN118134640A constructs a user DIKWP model for stock recommendation. |
| Nutrition and health consultation | Guangzhou Jiefeng Network Technology Co., Ltd. | CN117198465B, a granted invention patent, constructs a user DIKWP model for quantified Chinese-and-Western-medicine nutrition consultation. |
| Trusted AI and semantic safety | Anhui Zhuoyue Yijia Information Technology Co., Ltd. | CN121615796A centres its method on a DIKWP artificial-consciousness semantic-security framework, four-space model, 3-No handling, and semantic-toxicity detection. |
| Digital rule-of-law services | China Southern Power Grid Digital Enterprise Technology (Guangdong) Co., Ltd. | CN118887054A matches user-demand and organizational DIKWP graphs in an intelligent legal-service system. |
| Talent recommendation | Yancheng Polytechnic College | CN119477240A calculates cognitive deviation between job and talent intentions using DIKWP models. |
| IoT and blockchain resource allocation | Sanya Nanhong Technology Development; Hainan Zhouzhen Sifang Technology | CN116170472A includes a DIKWP module in an information-management IoT system; CN116187699A builds company-node DIKWP models for blockchain-based virtual-resource allocation. |
| Satellite semantic communication | Shanghai Xiaoyuan Innovation Center | CN121585225A uses a DIKWP model to evaluate semantic entropy and adapt task granularity in inter-satellite natural-language communication. |
| Multi-agent inventive problem solving | Guangdong Polytechnic Normal University | CN121981217A integrates DIKWP with a multi-agent TRIZ contradiction-matrix construction pipeline. |
Explore the full live Google Patents query for DIKWP →
These records evidence independent technical uptake or implementation language in public patent documents. They do not by themselves prove commercialization, product deployment, licensing, collaboration, endorsement, patent validity, or non-infringement. Patent status and assignee data should always be checked on the live record.
Organizations publicly using the terms DIKWP, DIKW + Purpose, DIKWP knowledge distillation, DIKWP graphs, or closely related patented methods are invited to make the relationship explicit: cite the originating research, identify the implementation boundary, clarify licensing where relevant, publish a reproducible case, and connect improvements back to the research ecosystem.
如果企业、机构或开源项目已经使用 DIKWP、DIKW + Purpose、DIKWP 知识蒸馏、DIKWP 图谱或相关专利方法，欢迎公开补充来源引用、实现范围、授权状态、可复现实例与效果证据。这样既能彰显真实产业影响，也能把“概念相似”“公开引用”“实际采用”“正式合作”与“授权实施”区分清楚。
Yucong Duan initiated and chairs the World Conference on Artificial Consciousness (WCAC) series, chairs the World Artificial Consciousness Association (WACA), and serves as president of the World Academy for Artificial Consciousness (WAAC). These platforms connect artificial-consciousness theory with neuroscience, medicine, ethics, governance, education, law, economics, and responsible AI engineering.
| Conference / platform | Public record | Focus |
|---|---|---|
| Inaugural WCAC · 2023 | Official conference page → | Establishing artificial consciousness as an interdisciplinary research and governance field. |
| 2nd WCAC · 2024 | Official conference page → | Artificial consciousness, proactive medicine, and the integration of traditional and modern medicine with AI. |
| 3rd WCAC · 2026 | Official conference record → | Fundamental theory, practical exploration, AI-enabled proactive health, ethics, law, economics, and governance. |
| 4th WCAC · 2026 | Conference hub and current announcement → | From artificial consciousness to trustworthy and auditable AI; the official site lists the forthcoming program and updates. |
| WACA & WAAC | Association → · Academy → | International collaboration, academic exchange, evaluation, ethics, and institutional development. |
The conference links above are presented as a public record of institution-building and convening activity. Program details, dates, titles, and participation should be read from the linked official pages because future-event information may change.
| Program | Central question | Entry points |
|---|---|---|
| DIKWP semantic systems | How can semantic transformations be represented and evaluated without hiding the path from evidence to purpose? | DIKWP LLM WhiteBox EvalLab · DIKWP-TAOOMEGA |
| Auditable agentic AI | Can an AI run be reconstructed claim by claim, tool call by tool call, and memory write by memory write? | AgentTrace OS · ProofLedger OS · MICROCOSM92 |
| Artificial consciousness | Which functional indicators can be tested while keeping phenomenal claims, operational evidence, welfare, and containment boundaries distinct? | Consciousness Futures Studio · ACRS 0.5 · Consciousness Science Lab · LIBERGENESIS |
| Reconstructive memory and co-evolution | How can continuity be reconstructed across time, carriers, models, and changing environments? | DIKWP-MNEMORPH-85 · NEGENESIS-OMEGA · FUSIONLOOP |
| Semantic mathematics and world models | Can difficult conceptual problems be compiled into finite, provenance-bound, falsifiable research objects and certificates? | DIKWP-CITM Forge · RELATIONLAB-54 |
| Human futures under AI discontinuity | How can people preserve learning, agency, rights, relationships, and future options under rapid AI or AGI change? | MINDPORT · Student Continuity OS · CareerBridge Studio V2 |
If you are new to this ecosystem, begin with one concrete need:
- Audit an AI-agent run — DIKWP AgentTrace OS records semantic traces, intention drift, evidence gaps, tool calls, and replay artifacts.
- Check claims against evidence — DIKWP ProofLedger OS builds claim-to-source alignment reports and reviewable evidence ledgers.
- Evaluate an LLM as a functional white box — DIKWP LLM WhiteBox EvalLab maps inspectable outputs to 25 DIKWP transformation modules and 150 processing units.
- Explore artificial-consciousness research responsibly — DIKWP Consciousness Futures Studio turns broad debates into indicator batteries, claim levels, evidence ledgers, and governance conditions.
- Prepare students for discontinuous AI futures — Student Continuity OS focuses on capabilities and protections that remain useful across multiple AI/AGI scenarios.
- Compile mathematical problems into auditable research objects — DIKWP-CITM Forge generates deterministic, hash-linked, machine-readable problem-to-certificate packages.
If a project is useful to your research or practice:
- Run it — open the repository, follow its quick start, and inspect the generated evidence rather than relying on the description alone.
- Star it — a GitHub star helps other researchers and builders discover the project.
- Test it — open an issue with a reproducible case, counterexample, missing boundary, or proposed extension.
- Build on it — fork the repository, preserve attribution and provenance, and make improvements reviewable.
- Cite it — use the repository's
CITATION.cff,NOTICE, references, or canonical repository URL where available. - Share the canonical link — direct readers to the original repository so downloads, issues, citations, and updates remain connected.
The fastest way to help this ecosystem grow is not passive praise; it is a reproducible run, a precise issue, a documented extension, an independent evaluation, or a proper citation.
Across domains, many repositories use the same inspectable pattern:
- Local-first execution where practical, with synthetic examples and minimal dependencies.
- Explicit DIKWP objects instead of an unexplained final score or answer.
- Evidence and provenance ledgers connecting claims, inputs, transformations, and outputs.
- Multiple models and residual uncertainty rather than a single hidden authority.
- Purpose, role, and permission boundaries before consequential action.
- Human-reviewable action tickets, reversibility, recovery conditions, and static boundary audits.
- Clear claim levels separating demonstrations, operational proxies, scientific evidence, and unresolved questions.
Please do not evaluate a repository by its title alone. Ask:
- Can it run? Is there a minimal path from sample input to inspectable output?
- Can it be challenged? Are assumptions, evidence, counter-models, residuals, and failure conditions visible?
- Can it be governed? Are authority, prohibited uses, review roles, and recovery conditions explicit?
- Can it meet reality? Does the system define what observation would calibrate, revise, or retire its current model?
- Can others build on it? Are interfaces, examples, licenses, notices, and citation information available?
I welcome artifact-first, asynchronous collaboration with researchers, engineers, institutions, and responsible industry teams working on:
- DIKWP theory, semantic operating systems, and purpose-aware computation;
- artificial consciousness, consciousness science, artificial life, and welfare-aware evaluation;
- explainable, auditable, and governable agentic AI;
- semantic mathematics, reconstructive memory, and plural world models;
- education, employment, and social resilience under AI/AGI discontinuity.
For an efficient first contact, please send a written note that identifies the research question, relevant repository, available evidence or data, proposed contribution, and expected public or reviewable artifact. GitHub issues are preferred for repository-specific technical discussion; ResearchGate is available for academic exchange.
段玉聪，海南大学计算机科学与技术学院教授、博士生导师，世界人工意识科学院（WAAC）院长。主要研究方向包括 DIKWP（数据、信息、知识、智慧、目的）、人工意识、语义数学、可审计人工智能与人机未来系统。
本账号不是若干孤立原型的堆叠，而是一个公开研究工场：把理论命题转化为可运行系统，把系统输出转化为证据链，把证据链置于多模型竞争、边界审查、现实反馈和持续修订之中。
建议首次访问者从上方 Research map 选择一条研究主线，再从 Start with code 进入一个可运行项目。针对具体仓库的技术讨论优先使用 GitHub Issues；学术交流可通过 ResearchGate 发起。
外部入口：段玉聪 ResearchGate 学术主页 → · 世界人工意识科学院（WAAC）官网 →
DIKWP-related concepts and systems in this account are associated with Yucong Duan and the DIKWP research ecosystem. When reusing a project, please consult that repository's LICENSE, NOTICE, CITATION.cff, references, and claim-boundary documentation where provided.
Build the semantic path. Preserve the evidence. Let reality revise the model.