YucongDuan的个人博客分享 http://blog.sciencenet.cn/u/YucongDuan

博文

"非对称经济学"到"对称经济学"Asymmetric Economics to Symmetric Economics

已有 1828 次阅读 2022-11-24 17:13 |系统分类:论文交流

DIKWP Ultimate of Digital Economy: From Asymmetric Data Economy, Asymmetric Information Economy to Symmetric Knowledge Economy and Symmetric Wisdom Economy

November 2022,DOI: 10.13140/RG.2.2.32178.48328

原文章阅读链接:https://www.researchgate.net/publication/365635800_DIKWP_Ultimate_of_Digital_Economy_From_Asymmetric_Data_Economy_Asymmetric_Information_Economy_to_Symmetric_Knowledge_Economy_and_Symmetric_Wisdom_Economy


数字经济的终极DIKWP形态:从“非对称数据经济、非对称信息经济”到“对称知识经济、对称智慧经济”

(DIKWP Ultimate of Digital Economy: From Asymmetric Data Economy, Asymmetric Information Economy to Symmetric Knowledge Economy and Symmetric Wisdom Economy)

Yucong Duan(段玉聪)

DIKWP research group, 海南大学(Hainan University)

Email: duanyucong@hotmail.com

 

摘要: 历史上数据资产,信息资产,知识资产和智慧资产的不对称可用性或所有权,本质上有助于揭示人类文明进程中各种经济社会的认知理解,发展和规划。各种经济学模型和理论将其交换和交易的基础建立在商品或服务的可用性不对称和需求不对称的基础上。然而从DIKWP Capital 物质化DIKWP 治理的角度来看,随着现代信息技术的飞速发展和数字通信设施的广泛进步,非对称数据经济和非对称信息经济正在日益淡化,取而代之的是本质上是对称的知识经济和对称的智慧经济。针对解决方案,我们揭示了对称经济取代非对称经济的必然性的形式化,并从 DIKWP12条链方面预测了 DIKWP 数字市场经济:DIKWP 资本链,DIKWP 数字经济链,DIKWP 服务链 XaaS ,DIKWP 信任链,DIKWP 治理链,DIKWP 区块链链,DIKWP 合约链,DIKWP 强人工智能学习链,DIKWP 数字文化链,DIKWP 数字复用/共享链,DIKWP 数字科学链,DIKWP 数字文明链。

Keywords: 文明, 经济学, 治理, 不对称经济学, 对称经济学 

1. 引言

当前的俄乌战争[1], [2], [3], [4], [5]是对社会调整和再调整[6], [7], [8], [9]的一次爆发反映。 许多领域,包括能源供应,粮食安全,全球贸易,货币不对称等,都是由经济原因驱动的。 冠状病毒 (COVID-19) 大流行 [10], [11], [12] 提醒世界,生物经济[13], [14], [15] 的亲密性和可持续性可能比人类曾经预期的要严重得多。 国际关系的新发展[16], [17], [18], [19],例如中美关系,似乎正在推动世界走向更多的社会,环境,经济和商业风险和不确定性[20], [ 21], [22], [23], [24], [25], [26]。与早期工业化时期的马克思[27], [28], [29]和两次世界大战的罗素[30], [31], [32]时代相距不远,各个维度都存在历史重演,并将可能会在即将到来的 Metaverse 经济学[33], [34], [35], [36], [37]等中继续。 

尽管所有这些有影响力的现象都与证明可知世界是或可以建立在可再现的因果关系或因果关系上无关[38], [39], [40], [41], [42], [43], [44] ] 结构体。经济学 [45], [46], [47], [48], [49], [50], [51], [52] 有许多分支和主题 [53], [54], [55], [ 56], [57], [58], [59] 支持对全球层面的混乱和不确定性进行建模,模拟,澄清和协调的解释。尽管学科变得越来越孤立和分散[60], [61], [62], [63], [64], [65]如同外国人用不同的外语互相交谈,但从现实来看,我们认为当前的社会混乱和冲突可以归因于当前经济学在解决各种数据模型,信息模型,知识模型和智慧模型之间的差距方面的无效或低效或无效,如果我们假设它们的完整性和一致性分别被主观假设在各种经济学模型中,这些模型之间的适当连接和后续转换将开始揭示包含潜在真相的更大语义[66], [67], [68], [69], [70], [71] , [72], [73], [74], [75], [76], [77], [78]。我们提出数据资产,信息资产 [79], [80], [81], [82], [83], [84], [85], [86],知识的不对称可用性或所有权甚至主观认知 资产[87], [88], [89], [90], [91], [92]和智慧资产[93], [94], [95], [96], [97], [98] , [99], [100], [101], [102] 对认知经济启示做出了重要贡献 [103], [104], [105], [106], [107], [108], [109, [110], [111], [112] 人类文明进程中各种经济社会的认识,发展和规划。在商业商品或服务的可用性和需求不对称的基础上奠定交换和交易基础[113], [114], [115], [116], [117], [118], [119] ], [120], [121], [122],经济学的各种模型和理论曾经被证明是成功的或更新成功的。

然而,从 DIKWP Capital 物质化 DIKWP 治理的角度来看[123], [124], [125], [126], [127], [128], [129], [130], [131],随着 DIKWP 的快速发展现代信息技术和广泛进步的数字通信设施[132], [133], [134], [135], [136], [137], [138], [139], [140], [141] [142][143][144],作为构建数据不对称和信息不对称的功能基础,不对称数据经济和不对称信息经济正日益消退,这对危机和通货膨胀挑战的贡献越来越大[145][146] ], [147], [148], [149] 等,而不是增长和繁荣,由于数据可用性和信息可用性的日益对称运动而不可逆转地失效[150], [151], [152], [153] , [154], [155], [156], [157], [158], [159], [160], [161], [162], [163], [164], [165]。顽固地恢复一个数据不对称和信息不对称的不对称时代,实际上阻碍了全球社会的前进,如果不是造成混乱和冲突的直接原因。无论如何,过时经济的成本经不起成本与生产率与生产率关系的验证[166], [167], [168], [169], [170], [171], [172], [173] ],本质上是对称知识经济和对称智慧经济,所有不对称的数据和信息都得到了解释和重新组合,避免了以前在创建或维护数据资产,信息资产,知识资产和智慧资产的不对称可用性方面的无意义浪费,更加高效和有效生产关系。

我们甚至想提出这样一个概念,即从非对称数据经济,非对称信息经济到对称知识经济和对称智慧经济的不确定性与守恒性与转型之间的不平衡,本质上导致了当前的误解,混乱和冲突。

2. 简要回顾经济的历史形态

基于一个完整的客观-主观视角 [174], [175], [176], [177], [178], [179], [180], [181], [182] 数字化世界作为数据,信息,知识,智慧和意图 (DIKWP) 资源及其相互作用,我们需要在本报告中推进新的 DIKWP 经济学。

我们想从 DIKWP 的非对称性和对称性角度简要介绍一下历史经济:

(a) DIKWP-数据经济(Data Economy) 

与物理世界相关的客观良好数据的不对称可用性或所有权,尤其是原始农业和货物对货物的交换,曾经主导了世界农耕和狩猎社会的初始文明。 在这种数据经济中[183], [184],商品所有权的不对称以及商品在不断变化的环境中随时间的需求使得商品在交换过程中的价值差异得以获利。  

(b) DIKWP-信息经济(Information Economy)  

这里对于信息经济[185], [186], [187], [188], [189], [190],我们仅指与知识资产相关的孤立信息不对称机制。 与代表认知世界的语义形式的数据或信息相关的主观信息的不对称可用性或所有权,特别是商业趋势和稀有性预测在当前市场经济中普遍存在,这是由过去几十年的计算和通信技术爆炸所促进的,似乎正在掩埋 通过达到其能力边界来限制不对称信息。 互联网技术和各种自主技术,特别是人工智能和机器人,不仅通过电子商务,智慧政务等为人们提供及时,廉价的信息,而且消除了分享信息基础蛋糕的不对称机会。

(c) DIKWP-知识经济(Knowledge Economy)  

与数据或信息相关的知识的不对称可用性或所有权,或代表认知世界中人类努力创新的语义形式的知识,通常已在客观物理世界中得到验证或由测试人员主观确认。与非对称数据经济和非对称信息经济不同,知识是一种直接的或必不可少的生产力,它可以与最终用户可以使用的物质或非物质产品的存在或创造有关,这不同于非用户利益相关者只会从跨媒体意义上的基于社会关系的数据或信息或知识的传输中获益。知识经济[191], [192], [193], [194], [195], [196], [197], [198], [199], [200]将理想地并最终避免无意义或低效或创造或维持非生产性不对称收益的无效成本或浪费。但知识经济要在大多数国家全面实施还有很长的路要走。一个建议是对知识资产权利进行国家层面的登记,对发明人利益保护进行制度性立法。

(d) DIKWP-智慧经济(Wisdom Economy)  

与数据或信息或知识或语义形式的智慧相关的智慧的不对称可用性或所有权代表了认知社会价值世界中人类信念的创新,通常已经在间接客观物理世界或直接主观社会互动中得到验证。 与不对称数据经济和不对称信息经济不同,智慧经济中的智慧[201], [202], [203], [204], [205], [206], [207]代替知识在操纵 经济世界迎合多种不同甚至有争议的目标/意图,以及当前经济机制的不对称变化。 智慧不一定是直接的生产力,但需要调和矛盾,转变为互惠互利的变化。 经济智慧终将得到认可,终将推动世界朝着更加公平,节能,环保的方向稳步前进。

3. 概念化DIKWP数字市场经济的8个核心链

为了揭示对称经济取代不对称经济的必然性的形式化,我们根据 DIKWP-12-Chians 构建了 DIKWP 数字市场经济的概念架构:DIKWP 资本链[208][209][210] ]DIKWP数字经济链[211][212][213]XaaSDIKWP服务链[214][215][216]DIKWP信任链[217][218][219][220],DIKWP 治理链[221], [222], [223],DIKWP 区块链链[224], [225], [226], DIKWP 合同链[227], [228], [229],DIKWP 强人工智能学习链[230], [231], [232],DIKWP 数字文化链[233], [234], [235], [236] DIKWP 数字复用链[237], [238], [239] ], DIKWP数字科学链[240], [241], [242], [243], [244], [245], [246], DIKWP数字文明链[247], [248], [249], [250] 如下。

(a) DIKWP 资本链(Capital Chain

为了整个人类社会的进步,我们提出,凡是消耗社会物质或精神福祉或一般能量的大范围事物,都需要以客观的建设或贡献,或积极的主观态度或努力来回馈社会。 作为DIKWP经济的基础,包括数据资本[251],信息资本[252],知识资本[253],智慧资本[254],意图资本[255]在内的经济资本正在逐步形成一个交叉的客观内容和主观认知DIKWP 资金链:

DIKWP Capital Chain

::=Data Capital->Information Capital->Knowledge Capital->Wisdom Capital->Purpose Capital

(b) DIKWP 数字经济链(Digital Economy Chain

数字经济正在扩展到涵盖数据经济[256], [257],信息经济[258], [259]知识经济[260], [261]和智慧经济[262,[263],更像是一条DIKWP数字经济链

DIKWP Digital Economy Chain

::=Data Economy->Information Economy->Knowledge Economy->Wisdom Economy

(c) DIKWP 服务链Service Chain of XaaS

为了支持数据资本,信息资本,知识资本,智慧资本的可信治理和管理,DIKWP数字资本链中的意图资本以数据即服务(DaaS[265]XaaS[264]形式提供,信息作为 服务(IFaaS[266],知识即服务(KaaS[267],智慧即服务(WaaS[268]意图即服务(PRaaS[269]形成DIKWP服务链:

DIKWP Service Chain

::=DaaS->IFaaS->KaaS->WaaS->PRaaS

(d) DIKWP 信任链Trust Chain  

为了降低 DIKWP 服务链上的成本交换和交易成本,走向繁荣的 DIKWP 数字经济链,我们不仅需要扩展可信计算[270],以涵盖可信数据[271],可信信息[272],可信知识[ 255], Trusted Wisdom/Decision[274], [275] 也是为了桥接 DIKWP Capital 在语义空间的转换之间的信任转移,形成 DIKWP 信任链:

DIKWP Trust Chain

::=Trusted Data->Trusted Information->Trusted Knowledge->Trusted Wisdom/Decision

(e) DIKWP 治理链Governance Chain

对应DIKWP资本链中数据资本,信息资本,知识资本,智慧资本的社会层面管理,DIKWP治理的治理包括数据治理[276],信息治理[277],知识治理[278],智慧治理 [279]意图治理[280],包括 DIKWP 治理链:

DIKWP Governance Chain

::=Data Governance->Information Governance)->Knowledge Governance->Wisdom Governance->Purpose Governance

将数据信任,信息信任,知识信任和智慧信任的集成信任作为一个整体 DIKWP 信任链,将大大降低 DIKWP 经济链的 DIKWP 治理成本和预算。

(f) DIKWP 区块链链(Blockchain Chain

DIKWP 信任链的具体实现对应的是通用区块链工具,我们建议将其作为 DIKWP 语义区块链,包括数据区块链[281],信息区块链[282],知识区块链[283],智慧区块链[284],或者以渐进的方式 DIKWP区块链链的语义区块链[285]

DIKWP Blockchain Chain

::=Data Blockchain->Information Blockchain->Knowledge Blockchain->Wisdom Blockchain

(g) DIKWP 合约链Contract Chain

DIKWP 区块链链中共识机制的核心是智能合约,包括数据合约[286], [287],信息合约[288],知识合约[289],智慧合约[290],或 DIKWP 合约链:

DIKWP Contract Chain

::= Data Contract -> Information Contract -> Knowledge Contract ->Wisdom Contract

(h) DIKWP 机器学习链Learning Chain for Strong AI

通过将当前人工智能机器学习的数据标注和数据训练扩展到数据标注[291],信息标注[292],知识标注[293],智慧标注[294],意图标注[295]DIKWP训练的横切DIKWP标注 数据训练[296],信息训练[297],知识训练[298],智慧训练[299],意图训练[300],DIKWP机器学习启动整合了数据学习[301],信息学习[302],知识学习[ 303],Wisdom Learning[304],Purpose Learning[305]形成DIKWP机器学习链的语义学习[306]

DIKWP Learning Chain

::= Data Learning -> Information Learning -> Knowledge Learning->Wisdom Learning

 

4. 其它4个相关DIKWP延展链

其他 4 个相关的 DIKWP 链包括如下。

(a) DIKWP 数字文化链Digital Culture Chain

数字文化[307] 正在扩展,涵盖数据文化[308],信息文化[309],知识文化[310] 和智慧文化[311],更像是一个 DIKWP 数字文化链:

DIKWP Digital Culture Chain

::=Data Culture->Information Culture->Knowledge Culture->Wisdom Culture

(b) DIKWP 数字重用/共享链Digital Reuse Chain

数字重用或共享正在扩展到涵盖数据重用/共享[312],信息重用/共享[313],知识重用/共享[314]和智慧重用/共享[315],更像是一个 DIKWP 数字重用/共享链:

DIKWP Digital Reuse/Sharing Chain

::=Data Reuse/Sharing->Information Reuse/Sharing->Knowledge Reuse/Sharing->Wisdom Reuse/Sharing

(c) DIKWP 数字科学链Digital Science Chain

数字科学正在扩展到涵盖数据科学[316],信息科学[317],知识科学[318]和智慧科学[319],更像是 DIKWP 数字科学链的语义科学[320]

DIKWP Digital Science Chain

::=Data Science->Information Science->Knowledge Science->Wisdom Science

(d) DIKWP 数字文明链Digital Civilization Chain

数字文明[321]正在扩展到涵盖数据文明[322],信息文明[323],知识文明[324]和智慧文明[325],更像是一个DIKWP数字文明链:

DIKWP Digital Civilization Chain

::=Data Civilization -> Information Civilization -> Knowledge Civilization -> Wisdom Civilization

 

5. DIKWP 社会技术

在各利益相关者和物质数字资产和资本之间的经济活动中,存在着与可解释性,可信度和可靠性相关的各种不确定性挑战,导致社会资源浪费,隐私滥用和权利侵权等。

(a) 问题提出

我们进行了意图驱动的研究[329], [330], [331], [332], [333], [334], [335], [336], [337], [338], [339] 包括最近:基于 DIKWP 图的意图驱动争议建模,分析和解决”[326],气象和抑郁症的意图驱动 DIKW 建模和分析”[327],以及智能表格填充和设计的意图驱动建模和分析基于DIKW”[328]等,旨在处理输入端(4-No Problem Input)的不一致,不完整,不准确,不可表达性等不确定性的语义内容处理,要求不一致,不完整,不准确,不可表达性最优 输出端(4-无问题输出)的结论受绿色节能计算,存储和通信期望的约束。

(b) 客观内容与主观认知的语义统一

为了统一利益相关者主观认知和客观表内容的表达和语义,我们以 DIKWP(内容)图的形式将具有 4-No Problem Input 的客观内容映射到类型化数据,信息,知识,智慧和意图DIKWP)。 基于对 DIKWP(content) 图的意图驱动或意图导向遍历,我们通过与利益相关者的主观 DIKWP 映射的交互构建了 DIKWP 认知图,DIKWP(Cognition) Graphs。 我们结合客观的 DIKWP(content) 图和主观的 DIKWP(stakeholder) 图来构建统一的 DIKWP 语义图。 我们战略性地将经济交互处理中与概念语义认知相关的不确定性映射到 DIKWP 语义图对参与者和内容的表示的差异。

 

(c) DIKWP 处理架构

通过在意图驱动策略下遍历 DIKWP 语义图,我们定位内容差异并解释争议或误解。 通过识别和减少源自不一致,不完整,不准确和不充分的资源交互的意外内容,我们使用 DIKWP(内容)图和 DIKWP(认知)图的 DIKWP 语义图中的连接和例程长度来确认转换的存在和 表达问题解决方案的认知距离和计算推理距离。 我们还提出了在减少 DIKWP(内容)图和 DIKWP(认知)图的 DIKWP 语义图中的认知距离和推理差距方面的处理优化。

6. 总结展望

从技术上讲,很多因素都会引发经济争论,学者们对解决经济学理论和模型的分歧进行了研究。然而,研究结论往往不一致,甚至相互矛盾。很少有研究从自动识别的角度探讨结论不一致的解决方法。我们提出了一种意图驱动的 DIKWP 建模和综合方法,用于集成 DIKWP 资本链之间的认知相互作用。首先,基于代表意图资产的意图图上的意图驱动策略,我们将有争议的内容和文档以数据,信息,知识和智慧类型的形式映射为 DIKWP 内容图。其次,通过 DIKWP 内容图谱 DIKWP 内容图谱的利益相关者之间的交互式语义计算和推理,我们从利益相关者的头脑中检索认知 DIKWP Cognition Graphs。最后,通过对 DIKWP 内容图和 DIKWP 认知图进行意图驱动处理,我们将客观 DIKWP 内容图和主观 DIKWP 认知图结合起来,形成集成的 DIKWP 语义图。在将原本离散的有争议的内容和认知与统一的DIKWP语义模型相结合的DIKWP语义空间中,我们最大化搜索空间来识别不一致结论的语义层次差异并找到不一致的解决方案。

为了更新当前的经济学,我们将通过揭示不同现有经济学模型和理论之间的差异,揭示对称经济取代不对称经济的必然性的形式化,并最终揭示这些现有经济学的预期与现实之间的差异。 DIKWP 数字市场经济在 DIKWP12条链方面的当前经济实践:DIKWP 资本链,DIKWP 数字经济链, XaaS DIKWP 服务链, DIKWP 信任链,DIKWP 治理链,DIKWP 区块链链,DIKWP 合同链,DIKWP 学习强人工智能链,以及DIKWP数字文化链,DIKWP数字复用/共享链,DIKWP数字科学链,DIKWP数字文明链。

职业教育,包括人工智能数据标注,信息标注,知识标注,智慧标注,意图标注等,通过有效建模的探索,抓住经济从非对称数据经济,非对称信息经济向对称知识经济,对称智慧经济转变的调整 个人数据资本,信息资本,知识资本,智慧资本,意图资本的方法,招聘适当 DIKWP 人力资本的有效映射机制,以及 DIKWP 人力资本的必要调度和再教育计划,以避免当前经济学中社会 DIKWP 资源的浪费 .   

 

参考文献:

[1] Kuzio, Taras. "Euromaidan revolution, Crimea and Russia–Ukraine war: why it is time for a review of Ukrainian–Russian studies." Eurasian Geography and Economics 59.3-4 (2018): 529-553.

[2] Appiah-Otoo, Isaac. "Russia–Ukraine War and US Oil Prices." Energy RESEARCH LETTERS 3.Early View (2022).

[3] Ben Hassen, Tarek, and Hamid El Bilali. "Impacts of the Russia-Ukraine war on global food security: towards more sustainable and resilient food systems?." Foods 11.15 (2022): 2301.

[4] Orhan, Ebru. "The effects of the Russia-Ukraine war on global trade." Journal of International Trade, Logistics and Law 8.1 (2022): 141-146.

[5] Chortane, Sana Gaied, and Dharen Kumar Pandey. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale." The Journal of Economic Asymmetries 26 (2022): e00265.

[6] Weissman, Myrna M. "The assessment of social adjustment: a review of techniques." Archives of general psychiatry 32.3 (1975): 357-365.

[7] Weissman, Myrna M., Diane Sholomskas, and Karen John. "The assessment of social adjustment: An update." Archives of general psychiatry 38.11 (1981): 1250-1258.

[8] Cavell, Timothy A. "Social adjustment, social performance, and social skills: A tri-component model of social competence." Journal of clinical child psychology 19.2 (1990): 111-122.

[9] Holmes, Thomas H., and Richard H. Rahe. "The social readjustment rating scale." Journal of psychosomatic research 11.2 (1967): 213-218.

[10] Yang, Li, et al. "COVID-19: immunopathogenesis and Immunotherapeutics." Signal transduction and targeted therapy 5.1 (2020): 1-8.

[11] Ciotti, Marco, et al. "The COVID-19 pandemic." Critical reviews in clinical laboratory sciences 57.6 (2020): 365-388.

[12] Le, T. Thanh, et al. "The COVID-19 vaccine development landscape." Nat Rev Drug Discov 19.5 (2020): 305-306.

[13] Zhang, Xue, Qing-ling Zhang, and Yue Zhang. "Bifurcations of a class of singular biological economic models." Chaos, Solitons & Fractals 40.3 (2009): 1309-1318.

[14] Winder, Gordon M., and Richard Le Heron. "Assembling a Blue Economy moment? Geographic engagement with globalizing biological-economic relations in multi-use marine environments." Dialogues in Human Geography 7.1 (2017): 3-26.

[15] Glaser, Marion, and Karen Diele. "Asymmetric outcomes: assessing central aspects of the biological, economic and social sustainability of a mangrove crab fishery, Ucides cordatus (Ocypodidae), in North Brazil." Ecological economics 49.3 (2004): 361-373.

[16] Hobson, John M. The state and international relations. Cambridge University Press, 2000.

[17] Walt, Stephen M. "The relationship between theory and policy in international relations." ANNUAL REVIEW OF POLITICAL SCIENCE-PALO ALTO- 8 (2005): 23.

[18] Singer, J. David. "The level-of-analysis problem in international relations." World Politics 14.1 (1961): 77-92.

[19] Milliken, Jennifer. "The study of discourse in international relations: A critique of research and methods." European journal of international relations 5.2 (1999): 225-254.

[20] Makridakis, Spyros, Robin M. Hogarth, and Anil Gaba. "Forecasting and uncertainty in the economic and business world." International Journal of Forecasting 25.4 (2009): 794-812.

[21] Blossfeld, Hans-Peter, et al. Globalization, uncertainty and youth in society: The losers in a globalizing world. Routledge, 2006.

[22] Welsh, Marc. "Resilience and responsibility: governing uncertainty in a complex world." The geographical journal 180.1 (2014): 15-26.

[23] Langlois, Richard. "Risk and uncertainty." The Elgar companion to Austrian economics. Edward Elgar Publishing, 1994.

[24] FeldmanHall, Oriel, and Amitai Shenhav. "Resolving uncertainty in a social world." Nature human behaviour 3.5 (2019): 426-435.

[25] Renn, Ortwin. Risk governance: coping with uncertainty in a complex world. Routledge, 2017.

[26] Nordhaus, William. The climate casino: Risk, uncertainty, and economics for a warming world. Yale University Press, 2013.

[27] Marx, Karl. Karl Marx on society and social change: With selections by Friedrich Engels. University of Chicago Press, 1973.

[28] Elster, Jon, and Elster Jon. An Introduction to Karl Marx. Cambridge University Press, 1986.

[29] Marx, Karl. "Capital." Social Theory Re-Wired. Routledge, 2016. 145-151.

[30] Russell, Bertrand. Human knowledge: Its scope and limits. Routledge, 2009.

[31] Russell, Bertrand. Our knowledge of the external world. Routledge, 2009.

[32] Russell, Bertrand. Human society in ethics and politics. Routledge, 2013.

[33] Bourlakis, Michael, Savvas Papagiannidis, and Feng Li. "Retail spatial evolution: paving the way from traditional to metaverse retailing." Electronic Commerce Research 9.1 (2009): 135-148.

[34] Park, Sang-Min, and Young-Gab Kim. "A Metaverse: Taxonomy, components, applications, and open challenges." Ieee Access 10 (2022): 4209-4251.

[35] Sparkes, Matthew. "What is a metaverse." (2021): 18.

[36] Collins, Chris. "Looking to the future: Higher education in the Metaverse." Educause Review 43.5 (2008): 50-52.

[37] Gadekallu, Thippa Reddy, et al. "Blockchain for the Metaverse: A Review." arXiv preprint arXiv:2203.09738 (2022).

[38] Putnam, Hilary. "Why there isn't a ready-made world." Synthese (1982): 141-167.

[39] Marwala, Tshilidzi. Causality, correlation and artificial intelligence for rational decision making. World Scientific, 2015.

[40] Sloman, Steven. Causal models: How people think about the world and its alternatives. Oxford University Press, 2005.

[41] Kitcher, Philip. "Explanatory unification and the causal structure of the world." (1989).

[42] Menzies, Peter. "Causal models, token causation, and processes." Philosophy of Science 71.5 (2004): 820-832.

[43] Li, Jiuyong, et al. "Accurate data-driven prediction does not mean high reproducibility." Nature machine intelligence 2.1 (2020): 13-15.

[44] Pearl, Judea, and Dana Mackenzie. The book of why: the new science of cause and effect. Basic books, 2018.

[45] Lipsey, Richard, and Alec Chrystal. Economics. Oxford University Press, 2011.

[46] Gillis, Malcolm, et al. Economics of development. No. Ed. 3. WW Norton & Company, Inc., 1992.

[47] Djankov, Simeon, et al. "The new comparative economics." Journal of comparative economics 31.4 (2003): 595-619.

[48] Maddala, Gangadharrao S. Introduction to economics. Macmillan, 1992.

[49] Throsby, Appleyard, Dennis R. International economics. New York: McGraw-Hill/Irwin, 2010.David. Economics and culture. Cambridge university press, 2001.

[50] Goldfarb, Avi, and Catherine Tucker. "Digital economics." Journal of Economic Literature 57.1 (2019): 3-43.

[51] Stigler, George J. "The economics of information." Journal of political economy 69.3 (1961): 213-225.

[52] Solow, Robert M. "The economics of resources or the resources of economics." Classic papers in natural resource economics. Palgrave Macmillan, London, 1974. 257-276.

[53] Schmalensee, Richard. "Industrial economics: an overview." The Economic Journal 98.392 (1988): 643-681.

[54] Foray, Dominique. Economics of knowledge. MIT press, 2004.

[55] Evans, Philip B., and Thomas S. Wurster. "Strategy and the new economics of information." Harvard business review 75.5 (1997): 70-83.

[56] Stiglitz, Joseph E. "The contributions of the economics of information to twentieth century economics." The quarterly journal of economics 115.4 (2000): 1441-1478.

[57] Galbraith, John Kenneth, et al. "Economics and the public purpose." Journal of Economic Issues 9.1 (1975): 87-100.

[58] Lazear, Edward P. Personnel economics. Vol. 1993. MIT press, 1995.

[59] Katona, George. Psychological economics. Elsevier, 1975.

[60] Durant, Will. Story of philosophy. Simon and Schuster, 1961.

[61] Flood, Robert Louis. Rethinking the fifth discipline: Learning within the unknowable. Routledge, 2002.

[62] Van Krieken, Robert. Norbert Elias. Routledge, 2005.

[63] Szalay, Alexander, and Jim Gray. "Science in an exponential world." Nature 440.7083 (2006): 413-414.

[64] Bordogna, Joseph, Eli Fromm, and Edward W. Ernst. "Engineering education: Innovation through integration." Journal of engineering education 82.1 (1993): 3-8.

[65] Katz, Ralph. "The effects of group longevity on project communication and performance." Administrative science quarterly (1982): 81-104.

[66] Ronquillo, Charlene, Leanne M. Currie, and Paddy Rodney. "The evolution of data-information-knowledge-wisdom in nursing informatics." Advances in nursing science 39.1 (2016): E1-E18.

[67] Wognin, Rémi, France Henri, and Olga Marino. "Data, information, knowledge, wisdom: A revised model for agents-based knowledge management systems." The Next Generation of Distance Education. Springer, Boston, MA, 2012. 181-189.

[68] Liew, Anthony. "DIKIW: Data, information, knowledge, intelligence, wisdom and their interrelationships." Business Management Dynamics 2.10 (2013): 49.

[69] Hirschheim, Rudy, Heinz K. Klein, and Kalle Lyytinen. Information systems development and data modeling: conceptual and philosophical foundations. Vol. 9. Cambridge University Press, 1995.

[70] Li, Yingbo, et al. "Swarm Differential Privacy for Purpose-Driven Data-Information-Knowledge-Wisdom Architecture." Mobile Information Systems 2021 (2021).

[71] Allen, G. Donald. "Hierarchy of Knowledge: From Data to Wisdom." International Journal of Current Research in Multidisciplinary (IJCRM) 2.1 (2004): 15-23.

[72] Aven, Terje. "A conceptual framework for linking risk and the elements of the data–information–knowledge–wisdom (DIKW) hierarchy." Reliability Engineering & System Safety 111 (2013): 30-36.

[73] Rowley, Jennifer. "The wisdom hierarchy: representations of the DIKW hierarchy." Journal of information science 33.2 (2007): 163-180.

[74] Duan, Yucong, et al. "Data privacy protection for edge computing of smart city in a DIKW architecture." Engineering Applications of Artificial Intelligence 81 (2019): 323-335.

[75] Duan, Yucong, et al. "Modeling data, information and knowledge for security protection of hybrid IoT and edge resources." Ieee Access 7 (2019): 99161-99176.

[76] Gao, Honghao, et al. "Transformation-based processing of typed resources for multimedia sources in the IoT environment." Wireless Networks 27.5 (2021): 3377-3393.

[77] Song, Zhengyang, et al. "Processing optimization of typed resources with synchronized storage and computation adaptation in fog computing." Wireless Communications and Mobile Computing 2018 (2018).

[78] Duan, Yucong, et al. "Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph." 2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA). IEEE, 2017.

[79] Schaller, Huntley. "Asymmetric information, liquidity constraints, and Canadian investment." Canadian Journal of Economics (1993): 552-574.

[80] Deshmukh, Sanjay. "The effect of asymmetric information on dividend policy." Quarterly Journal of Business and Economics (2005): 107-127.

[81] Daryaei, Abbas Ali, and Yasin Fattahi. "The asymmetric impact of institutional ownership on firm performance: panel smooth transition regression model." Corporate Governance: The International Journal of Business in Society (2020).

[82] Li, Kai, and Xinlei Zhao. "Asymmetric information and dividend policy." Financial management 37.4 (2008): 673-694.

[83] Degryse, Hans, and Abe De Jong. "Investment and internal finance: Asymmetric information or managerial discretion?." International journal of industrial organization 24.1 (2006): 125-147.

[84] Wang, Ashley W., and Gaiyan Zhang. "Institutional ownership and credit spreads: An information asymmetry perspective." Journal of Empirical Finance 16.4 (2009): 597-612.

[85] Pawlina, Grzegorz, and Luc Renneboog. "Is investment‐cash flow sensitivity caused by agency costs or asymmetric information? Evidence from the UK." European Financial Management 11.4 (2005): 483-513.

[86] Clarke, Jonathan, and Kuldeep Shastri. "On information asymmetry metrics." Available at SSRN 251938 (2000).

[87] He, Jinyu, and Heli C. Wang. "Innovative knowledge assets and economic performance: The asymmetric roles of incentives and monitoring." Academy of Management Journal 52.5 (2009): 919-938.

[88] Sharma, Anurag. "Professional as agent: Knowledge asymmetry in agency exchange." Academy of Management review 22.3 (1997): 758-798.

[89] Howorth, Carole, Paul Westhead, and Mike Wright. "Buyouts, information asymmetry and the family management dyad." Journal of Business Venturing 19.4 (2004): 509-534.

[90] Arbi, Khalil Ahmed, Abdul Rashid Kausar, and Imran Salim. "Minimizing asymmetric information in online markets through knowledge management." International journal of management Excellence 8.2 (2017): 924-931.

[91] Dehlen, Tobias, et al. "The role of information asymmetry in the choice of entrepreneurial exit routes." Journal of Business Venturing 29.2 (2014): 193-209.

[92] Dushnitsky, Gary, and Thomas Klueter. "Is there an eBay for ideas? Insights from online knowledge marketplaces." European Management Review 8.1 (2011): 17-32.

[93] Janney, Jay J., and Gregory G. Dess. "The risk concept for entrepreneurs reconsidered: New challenges to the conventional wisdom." Journal of Business venturing 21.3 (2006): 385-400.

[94] Schijven, Mario, and Michael A. Hitt. "The vicarious wisdom of crowds: Toward a behavioral perspective on investor reactions to acquisition announcements." Strategic Management Journal 33.11 (2012): 1247-1268.

[95] Clauss, Thomas, et al. "Directing the wisdom of the crowd: the importance of social interaction among founders and the crowd during crowdfunding campaigns." Economics of Innovation and New Technology 27.8 (2018): 709-729.

[96] Brown, Stephen PA, and Mine K. Yucel. "Gasoline and crude oil prices: why the asymmetry?." Economic & financial review (2000): 23.

[97] Wright, Mike, et al. "Strategy research in emerging economies: Challenging the conventional wisdom." Journal of management studies 42.1 (2005): 1-33.

[98] Polzin, Friedemann, Helen Toxopeus, and Erik Stam. "The wisdom of the crowd in funding: information heterogeneity and social networks of crowdfunders." Small Business Economics 50.2 (2018): 251-273.

[99] Sharma, Anurag. "Professional as agent: Knowledge asymmetry in agency exchange." Academy of Management review 22.3 (1997): 758-798.

[100] Schenkel, Ralf, et al. "Social Wisdom for Search and Recommendation." IEEE Data Eng. Bull. 31.2 (2008): 40-49.

[101] Zeckhauser, Richard J., and John Pound. "Are large shareholders effective monitors? An investigation of share ownership and corporate performance." Asymmetric information, corporate finance, and investment. University of Chicago Press, 1990. 149-180.

[102] Soroka, Stuart N. "Good news and bad news: Asymmetric responses to economic information." The journal of Politics 68.2 (2006): 372-385.

[103] Siegler, Robert S. "Cognitive variability: A key to understanding cognitive development." Current directions in psychological science 3.1 (1994): 1-5.

[104] Rowlands, Mark, and Rowlands Mark. The body in mind: Understanding cognitive processes. Cambridge University Press, 1999.

[105] Chater, Nick. "Can cognitive science create a cognitive economics?." Cognition 135 (2015): 52-55.

[106] Allaire, Gilles. "Quality in economics: a cognitive perspective." Qualities of food. Manchester University Press, 2018. 61-93.

[107] Bourgine, Paul. "What is cognitive economics?." Cognitive economics. Springer, Berlin, Heidelberg, 2004. 1-12.

[108] North, Douglass C. "Economics and cognitive science." Procedia-Social and Behavioral Sciences 2.5 (2010): 7371-7376.

[109] Ross, Don. Economic theory and cognitive science: Microexplanation. MIT press, 2005.

[110] Hanushek, Eric A., and Ludger Woessmann. "The role of cognitive skills in economic development." Journal of economic literature 46.3 (2008): 607-68.

[111] Burton, Edwin, and Sunit Shah. Behavioral finance: understanding the social, cognitive, and economic debates. Vol. 854. John Wiley & Sons, 2013.

[112] Dequech, David. "Cognitive and cultural embeddedness: combining institutional economics and economic sociology." Journal of Economic Issues 37.2 (2003): 461-470.

[113] Ivashina, Victoria. "Asymmetric information effects on loan spreads." Journal of financial Economics 92.2 (2009): 300-319.

[114] Griffin, James M., and Craig T. Schulman. "Price asymmetry in energy demand models: a proxy for energy-saving technical change?." The Energy Journal 26.2 (2005).

[115] Gan, Xianghua, Suresh P. Sethi, and Jing Zhou. "Commitment-penalty contracts in drop-shipping supply chains with asymmetric demand information." European Journal of Operational Research 204.3 (2010): 449-462.

[116] Elliott, Digby, et al. "Asymmetries in the preparation and control of manual aiming movements." Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale 47.3 (1993): 570.

[117] Zhang, Jianxiong, et al. "Manufacturer encroachment with quality decision under asymmetric demand information." European Journal of Operational Research 273.1 (2019): 217-236.

[118] Binks, Martin R., Christine T. Ennew, and Geoffrey V. Reed. "Information asymmetries and the provision of finance to small firms." International small business journal 11.1 (1992): 35-46.

[119] Cimoli, Mario. "Technological gaps and institutional asymmetries in a North‐South model with a continuum of goods." Metroeconomica 39.3 (1988): 245-274.

[120] Sehrawat, Madhu. "Modelling the nexus between human capital, income inequality, and energy demand in India: new evidences from asymmetric and non-linear analysis." Environmental Science and Pollution Research 28.3 (2021): 3632-3643.

[121] Mack, Keenan ML, and Jennifer A. Rudgers. "Balancing multiple mutualists: asymmetric interactions among plants, arbuscular mycorrhizal fungi, and fungal endophytes." Oikos 117.2 (2008): 310-320.

[122] Frankel, Richard, and Xu Li. "Characteristics of a firm's information environment and the information asymmetry between insiders and outsiders." Journal of accounting and economics 37.2 (2004): 229-259.

[123] Corson, Catherine, Kenneth Iain MacDonald, and Benjamin Neimark. "Grabbing “green”: markets, environmental governance and the materialization of natural capital." Human Geography 6.1 (2013): 1-15.

[124] Birtchnell, Thomas, Tillmann Böhme, and Robert Gorkin. "3D printing and the third mission: The university in the materialization of intellectual capital." Technological Forecasting and Social Change 123 (2017): 240-249.

[125] Blonska, Agnieszka, et al. "Decomposing the effect of supplier development on relationship benefits: The role of relational capital." Industrial Marketing Management 42.8 (2013): 1295-1306.

[126] Chung, Kee H., Peter Wright, and Ben Kedia. "Corporate governance and market valuation of capital and R&D investments." Review of Financial Economics 12.2 (2003): 161-172.

[127] Wu, Mei-Fen, Yu-Je Lee, and Gao-Liang Wang. "To verify how intellectual capital affects organizational performance in listed Taiwan IC design companies with considering the moderator of corporate governance." Journal of Global Business Management 8.1 (2012): 20.

[128] Rajan, Kaushik Sunder, ed. Lively capital: Biotechnologies, ethics, and governance in global markets. Duke University Press, 2012.

[129] Strömsten, Torkel, and Alexandra Waluszewski. "Governance and resource interaction in networks. The role of venture capital in a biotech start-up." Journal of Business Research 65.2 (2012): 232-244.

[130] Cornett, Marcia Millon, Jamie John McNutt, and Hassan Tehranian. "Corporate governance and earnings management at large US bank holding companies." Journal of Corporate finance 15.4 (2009): 412-430.

[131] Grove, Hugh, et al. "Corporate governance and performance in the wake of the financial crisis: Evidence from US commercial banks." Corporate Governance: An International Review 19.5 (2011): 418-436.

[132] Moss, Mitchell L., and Anthony M. Townsend. "How telecommunications systems are transforming urban spaces." Cities in the Telecommunications Age: the fracturing of geographies, Routledge, London (2000).

[133] Servon, Lisa J. Bridging the digital divide: Technology, community and public policy. John Wiley & Sons, 2008.

[134] Abubakar Aliyu, Alhaji, and Bin HJ Tasmin. "The impact of information and communication technology on banks‟ performance and customer service delivery in the banking industry." (2012).

[135] Unwin, P. T. H., and Tim Unwin, eds. ICT4D: Information and communication technology for development. Cambridge University Press, 2009.

[136] Cecchini, Simone, and Christopher Scott. "Can information and communications technology applications contribute to poverty reduction? Lessons from rural India." Information Technology for development 10.2 (2003): 73-84.

[137] Eggleston, Karen, Robert Jensen, and Richard Zeckhauser. "Information and communication technologies, markets, and economic development." The Global Information Technology Report 2001-2002: Readiness for the Networked World (2002).

[138] Hamel, Jean-Yves. "ICT4D and the human development and capabilities approach: The potentials of information and communication technology." (2010): 1-77.

[139] Taylor, Linnet. "What is data justice? The case for connecting digital rights and freedoms globally." Big Data & Society 4.2 (2017): 2053951717736335.

[140] Schwab, Klaus. The fourth industrial revolution. Currency, 2017.

[141] Storm, Servaas. "The new normal: Demand, secular stagnation, and the vanishing middle class." International Journal of Political Economy 46.4 (2017): 169-210.

[142] Nagle, Frank, Robert Seamans, and Steven Tadelis. "Transaction cost economics in the digital economy: A research agenda." Harvard Business School Strategy Unit Working Paper 21-009 (2020).

[143] Langlois, Richard N. "The vanishing hand: the modular revolution in American business." conference in honor of Richard R. Nelson and Sidney Winter, Danish Research Unit in Industrial Dynamics (DRUID), Aalborg, Denmark, June. 2001.

[144] Strahilevitz, Lior Jacob. "Reputation nation: Law in an era of ubiquitous personal information." Nw. UL Rev. 102 (2008): 1667.

[145] Mishkin, Frederic S. "Asymmetric information and financial crises: a historical perspective." (1990).

[146] Radelet, Steven, et al. "The East Asian financial crisis: diagnosis, remedies, prospects." Brookings papers on Economic activity 1998.1 (1998): 1-90.

[147] Frankel, Jeffrey A. "No single currency regime is right for all countries or at all times." (1999).

[148] De Bandt, Olivier, and Philipp Hartmann. "Systemic risk: a survey." Available at SSRN 258430 (2000).

[149] Mishkin, Frederic S., and Klaus Schmidt-Hebbel. "One decade of inflation targeting in the world: What do we know and what do we need to know?." (2001).

[150] Gholami, Roghieh, Sang‐Yong Tom Lee, and Almas Heshmati. "The causal relationship between information and communication technology and foreign direct investment." World Economy 29.1 (2006): 43-62.

[151] Adedoyin, Festus Fatai, et al. "The effects of air transportation, energy, ICT and FDI on economic growth in the industry 4.0 era: Evidence from the United States." Technological Forecasting and Social Change 160 (2020): 120297.

[152] Latif, Zahid, et al. "The dynamics of ICT, foreign direct investment, globalization and economic growth: Panel estimation robust to heterogeneity and cross-sectional dependence." Telematics and Informatics 35.2 (2018): 318-328.

[153] Arvin, Mak B., Rudra P. Pradhan, and Mahendhiran Nair. "Uncovering interlinks among ICT connectivity and penetration, trade openness, foreign direct investment, and economic growth: The case of the G-20 countries." Telematics and Informatics 60 (2021): 101567.

[154] Dimelis, Sophia P., and Sotiris K. Papaioannou. "FDI and ICT effects on productivity growth: A comparative analysis of developing and developed countries." The European Journal of Development Research 22.1 (2010): 79-96.

[155] Ferreira, Joao JM, Cristina Fernandes, and Vanessa Ratten. "The effects of technology transfers and institutional factors on economic growth: evidence from Europe and Oceania." The Journal of Technology Transfer 44.5 (2019): 1505-1528.

[156] Lööf, Hans, and Almas Heshmati. "Investment and performance of firms: correlation or causality?." Corporate Ownership & Control 6.2 (2008): 268-282.

[157] Veeramacheneni, Bala, E. M. Ekanayake, and Richard Vogel. "Information technology and economic growth: A causal analysis." Southwestern Economic Review 34 (2007): 75-88.

[158] Osuteye, Emmanuel, Cassidy Johnson, and Donald Brown. "The data gap: An analysis of data availability on disaster losses in sub-Saharan African cities." International journal of disaster risk reduction 26 (2017): 24-33.

[159] Murillo, Martin J. "Evaluating the role of online data availability: The case of economic and institutional transparency in sixteen Latin American nations." International Political Science Review 36.1 (2015): 42-59.

[160] Cardillo, Colleen, et al. Foreign direct investment: trends, data availability, concepts, and recording practices. International Monetary Fund, 2004.

[161] Sperling, George. "The information available in brief visual presentations." Psychological monographs: General and applied 74.11 (1960): 1.

[162] Fabic, Madeleine Short, YoonJoung Choi, and Sandra Bird. "A systematic review of Demographic and Health Surveys: data availability and utilization for research." Bulletin of the World Health Organization 90 (2012): 604-612.

[163] Tryfonas, Theodore, Dimitris Gritzalis, and Spyros Kokolakis. "A qualitative approach to information availability." IFIP International Information Security Conference. Springer, Boston, MA, 2000.

[164] Tulving, Endel, and Zena Pearlstone. "Availability versus accessibility of information in memory for words." Journal of verbal learning and verbal behavior 5.4 (1966): 381-391.

[165] Shimazono, Yosuke. "The state of the international organ trade: a provisional picture based on integration of available information." Bulletin of the World Health Organization 85 (2007): 955-962.

[166] Feder, Gershon. "The relation between farm size and farm productivity: The role of family labor, supervision and credit constraints." Journal of development economics 18.2-3 (1985): 297-313.

[167] Laibman, David. "Productive and unproductive labor: A comment." Review of Radical Political Economics 31.2 (1999): 61-73.

[168] Cobb, Charles W., and Paul H. Douglas. "A theory of production." (1928).

[169] Lazzarato, Maurizio. "Immaterial labor." Radical thought in Italy: A potential politics 1996 (1996): 133-47.

[170] Baily, Martin Neil, et al. "Increasing global competition and labor productivity: Lessons from the US automotive industry." McKensie Global Institute, November 7 (2005).

[171] Datta, Deepak K., James P. Guthrie, and Patrick M. Wright. "Human resource management and labor productivity: does industry matter?." Academy of management Journal 48.1 (2005): 135-145.

[172] Buchele, Robert, and Jens Christiansen. "Labor relations and productivity growth in advanced capitalist economies." Review of Radical Political Economics 31.1 (1999): 87-110.

[173] Aschauer, David Alan. "Is public expenditure productive?." Journal of monetary economics 23.2 (1989): 177-200.

[174] Heylighen, Francis. "Objective, subjective and intersubjective selectors of knowledge." Evolution and cognition 3.1 (1997): 63-67.

[175] Cummins, Robert A. "Objective and subjective quality of life: An interactive model." Social indicators research 52.1 (2000): 55-72.

[176] Voukelatou, Vasiliki, et al. "Measuring objective and subjective well-being: dimensions and data sources." International Journal of Data Science and Analytics 11.4 (2021): 279-309.

[177] De Waal1, Benny, Frank van Outvorst, and Pascal Ravesteyn1. "Digital leadership: The objective-subjective dichotomy of technology revisited." 12 th European Conference on Management, Leadership and Governance ECMLG 2016. 2016.

[178] Ng, Thomas WH, et al. "Predictors of objective and subjective career success: A meta‐analysis." Personnel psychology 58.2 (2005): 367-408.

[179] Hjørland, Birger. "Information: Objective or subjective/situational?." Journal of the American society for information science and technology 58.10 (2007): 1448-1456.

[180] Hornik, Jacob. "Subjective vs. objective time measures: A note on the perception of time in consumer behavior." Journal of consumer research 11.1 (1984): 615-618.

[181] Gilboa, Itzhak, et al. "Objective and subjective rationality in a multiple prior model." Econometrica 78.2 (2010): 755-770.

[182] Veenhoven, Runt. "Why social policy needs subjective indicators." Social indicators research 58.1 (2002): 33-46.

[183] Elvy, Stacy-Ann. "Paying for privacy and the personal data economy." Colum. L. Rev. 117 (2017): 1369.

[184] Jones, Charles I., and Christopher Tonetti. "Nonrivalry and the Economics of Data." American Economic Review 110.9 (2020): 2819-58.

[185] Porat, Marc Uri, and Michael Rogers Rubin. The information economy: definition and measurement. Vol. 77. No. 12. The Office, 1977.

[186] Eliasson, Gunnar, et al. The knowledge based information economy. No. 256. IUI Working Paper, 1990.

[187] Frenkel, Stephen, et al. On the front line: Organization of work in the information economy. No. 35. Cornell University Press, 1999.

[188] Banerjee, Prith, et al. "Everything as a service: Powering the new information economy." Computer 44.3 (2011): 36-43.

[189] Woodford, Michael. "Monetary policy in the information economy." (2001).

[190] Karmarkar, Uday S., and Uday M. Apte. "Operations management in the information economy: Information products, processes, and chains." Journal of Operations Management 25.2 (2007): 438-453.

[191] Boisot, Max H. Knowledge assets: Securing competitive advantage in the information economy. OUP Oxford, 1998.

[192] Powell, Walter W., and Kaisa Snellman. "The knowledge economy." Annual review of sociology (2004): 199-220.

[193] Brinkley, Ian. Defining the knowledge economy. Vol. 19. London: The work foundation, 2006.

[194] Doz, Yves, Jose Santos, and Peter Williamson. "From global to metanational: How companies win in the knowledge economy." Ubiquity 2001.December (2001): 2.

[195] Houghton, John, and Peter Sheehan. A primer on the knowledge economy. Victoria University, 2000.

[196] Drahos, Peter, and John Braithwaite. Information feudalism: Who owns the knowledge economy?. Routledge, 2017.

[197] Garicano, Luis, and Esteban Rossi-Hansberg. "Organization and inequality in a knowledge economy." The Quarterly journal of economics 121.4 (2006): 1383-1435.

[198] Brown, Phillip, et al. "Education, globalisation and the future of the knowledge economy." European Educational Research Journal 7.2 (2008): 131-156.

[199] Kim, W. Chan, and Renée Mauborgne. "Fair process: Managing in the knowledge economy." Harvard business review 81.1 (2003): 127-136.

[200] Olssen*, Mark, and Michael A. Peters. "Neoliberalism, higher education and the knowledge economy: From the free market to knowledge capitalism." Journal of education policy 20.3 (2005): 313-345.

[201] Walker, Stuart. "Design and spirituality: Material culture for a wisdom economy." Design Issues 29.3 (2013): 89-107.

[202] Murtaza, Niaz. "Pursuing self-interest or self-actualization? From capitalism to a steady-state, wisdom economy." Ecological Economics 70.4 (2011): 577-584.

[203] Wright, Mike, et al. "Strategy research in emerging economies: Challenging the conventional wisdom." Journal of management studies 42.1 (2005): 1-33.

[204] Dellepiane-Avellaneda, Sebastian. "Good governance, institutions and economic development: Beyond the conventional wisdom." British Journal of Political Science 40.1 (2010): 195-224.

[205] Geddes, Barbara. "Challenging the conventional wisdom." Journal of Democracy 5.4 (1994): 104-118.

[206] Putri, Meldha Amanda, Ersis Warmansyah Abbas, and Jumriani Jumriani. "Strategies in Developing Creative Economic Activities Based on Local Wisdom." The Innovation of Social Studies Journal 3.1 (2021): 42-48.

[207] Herdegen, Matthias. "Price stability and budgetary restraints in the economic and monetary union: the law as guardian of economic wisdom." Common Market Law Review 35.1 (1998).

[208] Autry, Chad W., and Stanley E. Griffis. "Supply chain capital: the impact of structural and relational linkages on firm execution and innovation." Journal of business logistics 29.1 (2008): 157-173.

[209] Hofmann, Erik, and Herbert Kotzab. "A supply chain‐oriented approach of working capital management." Journal of business Logistics 31.2 (2010): 305-330.

[210] Carlucci, Daniela, Bernard Marr, and Gianni Schiuma. "The knowledge value chain: how intellectual capital impacts on business performance." International Journal of Technology Management 27.6-7 (2004): 575-590.

[211] Hartley, John. "The ‘value chain of meaning’and the new economy." International journal of cultural studies 7.1 (2004): 129-141.

[212] Govindan, Kannan, and Mia Hasanagic. "A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective." International Journal of Production Research 56.1-2 (2018): 278-311.

[213] Gunasekaran, Angappa, Kee-hung Lai, and TC Edwin Cheng. "Responsive supply chain: a competitive strategy in a networked economy." Omega 36.4 (2008): 549-564.

[214] Huin, Nicolas, Brigitte Jaumard, and Frédéric Giroire. "Optimal network service chain provisioning." IEEE/ACM Transactions on Networking 26.3 (2018): 1320-1333.

[215] Jung, Jason J. "Service chain-based business alliance formation in service-oriented architecture." Expert Systems with Applications 38.3 (2011): 2206-2211.

[216] Zhang, Ying, et al. "Steering: A software-defined networking for inline service chaining." 2013 21st IEEE international conference on network protocols (ICNP). IEEE, 2013.

[217] Malik, Sidra, et al. "Trustchain: Trust management in blockchain and iot supported supply chains." 2019 IEEE International Conference on Blockchain (Blockchain). IEEE, 2019.

[218] Otte, Pim, Martijn de Vos, and Johan Pouwelse. "TrustChain: A Sybil-resistant scalable blockchain." Future Generation Computer Systems 107 (2020): 770-780.

[219] Heintzman, Ralph, and Brian Marson. "People, service and trust: is there a public sector service value chain?." International Review of Administrative Sciences 71.4 (2005): 549-575.

[220] Kwon, Ik‐Whan G., and Taewon Suh. "Factors affecting the level of trust and commitment in supply chain relationships." Journal of supply chain management 40.1 (2004): 4-14.

[221] Gereffi, Gary, John Humphrey, and Timothy Sturgeon. "The governance of global value chains." Review of international political economy 12.1 (2005): 78-104.

[222] Paulsen, Jan Merok, and Hans Christian Høyer. "Norwegian superintendents are mediators in the governance chain." Nordic Superintendents: Agents in a broken chain. Springer, Cham, 2016. 99-138.

[223] Humphrey, John, and Hubert Schmitz*. "Governance in global value chains." IDS bulletin 32.3 (2001): 19-29.

[224] Korpela, Kari, Jukka Hallikas, and Tomi Dahlberg. "Digital supply chain transformation toward blockchain integration." proceedings of the 50th Hawaii international conference on system sciences. 2017.

[225] Kim, Henry M., and Marek Laskowski. "Toward an ontology‐driven blockchain design for supply‐chain provenance." Intelligent Systems in Accounting, Finance and Management 25.1 (2018): 18-27.

[226] Dutta, Pankaj, et al. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities." Transportation research part e: Logistics and transportation review 142 (2020): 102067.

[227] Chang, Shuchih Ernest, Yi-Chian Chen, and Ming-Fang Lu. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process." Technological Forecasting and Social Change 144 (2019): 1-11.

[228] Wang, Shangping, et al. "Smart contract-based product traceability system in the supply chain scenario." IEEE Access 7 (2019): 115122-115133.

[229] Chang, Shuchih Ernest, Yi-Chian Chen, and Ming-Fang Lu. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process." Technological Forecasting and Social Change 144 (2019): 1-11.

[230] Maqsood, Tayyab, Derek Walker, and Andrew Finegan. "Extending the “knowledge advantage”: creating learning chains." The Learning Organization (2007).

[231] Dasgupta, Meeta, and Rajen K. Gupta. "Innovation in organizations: A review of the role of organizational learning and knowledge management." Global Business Review 10.2 (2009): 203-224.

[232] Jaber, Mohamad Y., Maurice Bonney, and Alfred L. Guiffrida. "Coordinating a three-level supply chain with learning-based continuous improvement." International Journal of Production Economics 127.1 (2010): 27-38.

[233] McAfee, R. Bruce, Myron Glassman, and Earl D. Honeycutt Jr. "The effects of culture and human resource management policies on supply chain management strategy." Journal of Business logistics 23.1 (2002): 1-18.

[234] Braunscheidel, Michael J., Nallan C. Suresh, and Alicia D. Boisnier. "Investigating the impact of organizational culture on supply chain integration." Human Resource Management 49.5 (2010): 883-911.

[235] Cao, Zhi, et al. "The impact of organizational culture on supply chain integration: a contingency and configuration approach." Supply Chain Management: An International Journal (2015).

[236] Williams, Raymond. Culture and society, 1780-1950. Columbia University Press, 1983.

[237] Atasu, Atalay, V. Daniel R. Guide Jr, and Luk N. Van Wassenhove. "Product reuse economics in closed‐loop supply chain research." Production and Operations Management 17.5 (2008): 483-496.

[238] Paras, Manoj Kumar, Rudrajeet Pal, and Daniel Ekwall. "Systematic literature review to develop a conceptual framework for a reuse-based clothing value chain." The international review of retail, distribution and consumer research 28.3 (2018): 231-258.

[239] Fuhrimann, Samuel, et al. "Health risk assessment along the wastewater and faecal sludge management and reuse chain of Kampala, Uganda: a visualization." Geospatial health 9.1 (2014): 251-255.

[240] Hazen, Benjamin T., et al. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications." International Journal of Production Economics 154 (2014): 72-80.

[241] Waller, Matthew A., and Stanley E. Fawcett. "Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management." Journal of Business Logistics 34.2 (2013): 77-84.

[242] Robinson, Lyn. "Information science: communication chain and domain analysis." Journal of Documentation (2009).

[243] Bynum, William F. "The Great Chain of Being after forty years: An appraisal." History of science 13.1 (1975): 1-28.

[244] Zins, Chaim. "Redefining information science: from “information science” to “knowledge science”." Journal of documentation (2006).

[245] Zins, Chaim. "Conceptual approaches for defining data, information, and knowledge." Journal of the American society for information science and technology 58.4 (2007): 479-493.

[246] Wersig, Gernot. "Information science: the study of postmodern knowledge usage." Information processing & management 29.2 (1993): 229-239.

[247] Lovejoy, Arthur. The great chain of being: A study of the history of an idea. Routledge, 2017.

[248] Khanna, Parag. Connectography: Mapping the future of global civilization. Random House, 2016.

[249] Wallerstein, Immanuel Maurice, and Immanuel Wallerstein. Historical capitalism with capitalist civilization. Verso, 1995.

[250] Fromm, Erich. Beyond the chains of illusion: My encounter with Marx and Freud. Vol. 780. A&C Black, 2001.

[251] Sadowski, Jathan. "When data is capital: Datafication, accumulation, and extraction." Big data & society 6.1 (2019): 2053951718820549.

[252] Neuman, Susan B., and Donna C. Celano. Giving our children a fighting chance: Poverty, literacy, and the development of information capital. Teachers College Press, 2015.

[253] Carr, David L., James R. Markusen, and Keith E. Maskus. "Estimating the knowledge-capital model of the multinational enterprise." American Economic Review 91.3 (2001): 693-708.

[254] Vasconcelos, Anselmo Ferreira. "Older workers as a source of wisdom capital: broadening perspectives." Revista de Gestão (2018).

[255] Burrow, Anthony L., and Patrick L. Hill. "Purpose as a form of identity capital for positive youth adjustment." Developmental psychology 47.4 (2011): 1196.

[256] Jones, Charles I., and Christopher Tonetti. "Nonrivalry and the Economics of Data." American Economic Review 110.9 (2020): 2819-58.

[257] Farboodi, Maryam, and Laura Veldkamp. "A growth model of the data economy." NBER working paper w28427 (2021).

[258] Sukhodolov, A., E. Popkova, and T. Litvinova. Models of Modern Information Economy. Emerald, 2018.

[259] Porat, Marc Uri, and Michael Rogers Rubin. The information economy: definition and measurement. Vol. 77. No. 12. The Office, 1977.

[260] Powell, Walter W., and Kaisa Snellman. "The knowledge economy." Annual review of sociology (2004): 199-220.

[261] Doz, Yves, Jose Santos, and Peter Williamson. "From global to metanational: How companies win in the knowledge economy." Ubiquity 2001.December (2001): 2.

[262] Walker, Stuart. "Design and spirituality: Material culture for a wisdom economy." Design Issues 29.3 (2013): 89-107.

[263] Murtaza, Niaz. "Pursuing self-interest or self-actualization? From capitalism to a steady-state, wisdom economy." Ecological Economics 70.4 (2011): 577-584.

[264] Duan, Yucong, et al. "Everything as a service (XaaS) on the cloud: origins, current and future trends." 2015 IEEE 8th International Conference on Cloud Computing. IEEE, 2015.

[265] Terzo, Olivier, et al. "Data as a service (DaaS) for sharing and processing of large data collections in the cloud." 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems. IEEE, 2013.

[266] Rowley, Jennifer. "An analysis of the e‐service literature: towards a research agenda." Internet research (2006).

[267] Quinn, James Brian. Intelligent Enterprise: a knowledge and service based paradigm for Industr. Simon and Schuster, 1992.

[268] Chen, Jianhui, et al. "WaaS—Wisdom as a service." Wisdom Web of Things. Springer, Cham, 2016. 27-46.

[269] Munson, Jonathan P., and Vineet K. Gupta. "Location-based notification as a general-purpose service." Proceedings of the 2nd international workshop on Mobile commerce. 2002.

[270] Garfinkel, Tal, et al. "Terra: A virtual machine-based platform for trusted computing." Proceedings of the nineteenth ACM symposium on Operating systems principles. 2003.

[271] Hardjono, Thomas, David L. Shrier, and Alex Pentland, eds. Trusted Data, revised and expanded edition: A New Framework for Identity and Data Sharing. MIT Press, 2019.

[272] Gil, Yolanda, and Varun Ratnakar. "Trusting information sources one citizen at a time." International Semantic Web Conference. Springer, Berlin, Heidelberg, 2002.

[273] Abrams, Lisa C., et al. "Nurturing interpersonal trust in knowledge-sharing networks." Academy of Management Perspectives 17.4 (2003): 64-77.

[274] Smythe, Elizabeth (liz) Ann, Tony MacCulloch, and Richard Charmley. "Professional supervision: Trusting the wisdom that ‘comes’." British Journal of Guidance & Counselling 37.1 (2009): 17-25.

[275] Lei, Yu, and Duan Yucong. "Trusted service provider discovery based on data, information, knowledge, and wisdom." International Journal of Software Engineering and Knowledge Engineering 31.01 (2021): 3-19.

[276] Abraham, Rene, Johannes Schneider, and Jan Vom Brocke. "Data governance: A conceptual framework, structured review, and research agenda." International Journal of Information Management 49 (2019): 424-438.

[277] Tallon, Paul P., Ronald V. Ramirez, and James E. Short. "The information artifact in IT governance: Toward a theory of information governance." Journal of Management Information Systems 30.3 (2013): 141-178.

[278] Foss, Nicolai J. "The emerging knowledge governance approach: Challenges and characteristics." Organization 14.1 (2007): 29-52.

[279] Dellepiane-Avellaneda, Sebastian. "Good governance, institutions and economic development: Beyond the conventional wisdom." British Journal of Political Science 40.1 (2010): 195-224.

[280] Rijke, Jeroen, et al. "Fit-for-purpose governance: A framework to make adaptive governance operational." Environmental Science & Policy 22 (2012): 73-84.

[281] Azaria, Asaph, et al. "Medrec: Using blockchain for medical data access and permission management." 2016 2nd international conference on open and big data (OBD). IEEE, 2016.

[282] Ølnes, Svein, Jolien Ubacht, and Marijn Janssen. "Blockchain in government: Benefits and implications of distributed ledger technology for information sharing." Government Information Quarterly 34.3 (2017): 355-364.

[283] Fill, Hans-Georg, and Felix Härer. "Knowledge blockchains: Applying blockchain technologies to enterprise modeling." (2018).

[284] Duan, Huayi, et al. "Aggregating crowd wisdom via blockchain: A private, correct, and robust realization." 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom. IEEE, 2019.

[285] Ruta, Michele, et al. "Semantic blockchain to improve scalability in the internet of things." Open Journal of Internet Of Things (OJIOT) 3.1 (2017): 46-61.

[286] Truong, Hong-Linh, et al. "Data contracts for cloud-based data marketplaces." International Journal of Computational Science and Engineering 7.4 (2012): 280-295.

[287] Du, Jun, et al. "Contract mechanism and performance analysis for data transaction in mobile social networks." IEEE Transactions on Network Science and Engineering 6.2 (2017): 103-115.

[288] Baiman, Stanley, Paul E. Fischer, and Madhav V. Rajan. "Information, contracting, and quality costs." Management Science 46.6 (2000): 776-789.

[289] Arora, Ashish. "Contracting for tacit knowledge: the provision of technical services in technology licensing contracts." Journal of Development Economics 50.2 (1996): 233-256.

[290] Li, Jiasun. "Profit sharing: A contracting solution to harness the wisdom of the crowd." (2018).

[291] Wang, Meng, et al. "Assistive tagging: A survey of multimedia tagging with human-computer joint exploration." ACM Computing Surveys (CSUR) 44.4 (2012): 1-24.

[292] Blaze, Matt, et al. "Managing trust in an information‐labeling system." European Transactions on Telecommunications 8.5 (1997): 491-501.

[293] Heymann, Paul, Andreas Paepcke, and Hector Garcia-Molina. "Tagging human knowledge." Proceedings of the third ACM international conference on Web search and data mining. 2010.

[294] Agarwal, Nitin, et al. "WisColl: Collective wisdom based blog clustering." Information Sciences 180.1 (2010): 39-61.

[295] Strohmaier, Markus. "Purpose tagging: capturing user intent to assist goal-oriented social search." Proceedings of the 2008 ACM workshop on Search in social media. 2008.

[296] Batista, Gustavo EAPA, Ronaldo C. Prati, and Maria Carolina Monard. "A study of the behavior of several methods for balancing machine learning training data." ACM SIGKDD explorations newsletter 6.1 (2004): 20-29.

[297] Rodriguez, M., J. Hidalgo, and B. Agudo. "Using WordNet to complement training information in text categorization." Proceedings of 2nd International Conference on Recent Advances in Natural Language Processing II: Selected Papers from RANLP. Vol. 97. 2000.

[298] Noordewier, Michiel, Geoffrey Towell, and Jude Shavlik. "Training knowledge-based neural networks to recognize genes in DNA sequences." Advances in neural information processing systems 3 (1990).

[299] Grossmann, Igor, et al. "The science of wisdom in a polarized world: Knowns and unknowns." Psychological Inquiry 31.2 (2020): 103-133.

[300] Lawson, M. J., and Sandra Fueloep. "Understanding the purpose of strategy training." British Journal of Educational Psychology 50.2 (1980): 175-180.\

[301] Cherkassky, Vladimir, and Filip M. Mulier. Learning from data: concepts, theory, and methods. John Wiley & Sons, 2007.

[302] Chen, Xi, et al. "Infogan: Interpretable representation learning by information maximizing generative adversarial nets." Advances in neural information processing systems 29 (2016).

[303] Goldie, John Gerard Scott. "Connectivism: A knowledge learning theory for the digital age?." Medical teacher 38.10 (2016): 1064-1069.

[304] Kuepers, Wendelin M., and David Pauleen. "Learning wisdom: Embodied and artful approaches to management education." Scandinavian Journal of Management 31.4 (2015): 493-500.

[305] Milner IV, H. Richard. "Culturally relevant, purpose-driven learning & teaching in a middle school social studies classroom." Multicultural Education 21.2 (2014): 9-17.

[306] Lavrenko, Victor, Raghavan Manmatha, and Jiwoon Jeon. "A model for learning the semantics of pictures." Advances in neural information processing systems 16 (2003).

[307] Gere, Charlie. Digital culture. Reaktion Books, 2009.

[308] Miller, Vincent. Understanding digital culture. Sage, 2020.

[309] Choo, Chun Wei, et al. "Information culture and information use: An exploratory study of three organizations." Journal of the American society for information science and technology 59.5 (2008): 792-804.

[310] Haushchild, Sussane. "Creating a knowledge culture." (2017).

[311] Grossmann, Igor, and Franki YH Kung. "Wisdom and culture." (2019).

[312] Tenopir, Carol, et al. "Changes in data sharing and data reuse practices and perceptions among scientists worldwide." PloS one 10.8 (2015): e0134826.

[313] Zimmerman, Ann S. "New knowledge from old data: The role of standards in the sharing and reuse of ecological data." Science, technology, & human values 33.5 (2008): 631-652.

[314] Markus, Lynne M. "Toward a theory of knowledge reuse: Types of knowledge reuse situations and factors in reuse success." Journal of management information systems 18.1 (2001): 57-93.

[315] Piao, Guangyuan, and John G. Breslin. "DBQuote: a social web based system for collecting and sharing wisdom quotes." Proceedings of the 5th Joint International Semantic Technology Conference, Poster and Demonstrations. 2015.

[316] Van Der Aalst, Wil. Process mining: data science in action. Vol. 2. Heidelberg: Springer, 2016.

[317] Borko, Harold. "Information science: what is it?." American documentation 19.1 (1968): 3-5.

[318] Mulkay, Michael. Science and the Sociology of Knowledge. Routledge, 2014.

[319] Maxwell, Nicholas. "From knowledge to wisdom: A revolution for science and the humanities." (2007).

[320] Ullmann, Stephen. Semantics: An introduction to the science of meaning. Oxford: Basil Blackwell, 1962.

[321] Tehranian, Majid. Rethinking civilization: Resolving conflict in the human family. Routledge, 2012.

[322] Saura, Jose Ramon, Domingo Ribeiro-Soriano, and Daniel Palacios-Marqués. "From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets." International Journal of Information Management 60 (2021): 102331.

[323] Shank, John D., Steven Bell, and Diane Zabel. "Blended librarianship:[Re] envisioning the role of librarian as educator in the digital information age." Reference and User Services Quarterly 51.2 (2011): 105-110.

[324] Wierzbicki, Andrzej P., and Yoshiteru Nakamori. Creative space: models of creative processes for the knowledge civilization age. Vol. 10. Springer Science & Business Media, 2005.

[325] Prensky, Marc. Brain gain: Technology and the quest for digital wisdom. St. Martin's Press, 2012.

[326] Yingtian Mei, Yucong Duan, etc. Purpose Driven Disputation Modeling, Analysis and Resolution Based on DIKWP Graphs, November 2022, DOI: 10.13140/RG.2.2.32755.20002

[327] Zhendong Guo, Yucong Duan, etc. Purpose Driven DIKW Modeling and Analysis of Meteorology and Depression, November 2022, DOI: 10.13140/RG.2.2.22741.29928

[328] Yue Huang, Yucong Duan, etc. Purpose Driven Modelling and Analysis for Smart Table Fill and Design based on DIKW, November 2022, DOI: 10.13140/RG.2.2.36163.07208

[329] Stirna, Janis, and Anne Persson. "Purpose driven competency planning for enterprise modeling projects." International Conference on Advanced Information Systems Engineering. Springer, Berlin, Heidelberg, 2012.

[330] Yucong Duan, https://www.researchgate.net/publication/358608122_Existence_Computation_and_ReasoningEXCR_and_Essence_Computation_and_ReasoningESCR_based_revelation_of_the_semantics_of_point_line_and_plane

[331] Yucong Duan,  https://www.researchgate.net/publication/358608147_Existence_Computation_and_ReasoningEXCR_and_Essence_Computation_and_ReasoningESCR_based_Revelation_of_the_Four_Color_Theorem

[332] Yucong Duan, https://www.researchgate.net/publication/358637942_Existence_Computation_and_ReasoningEXCR_and_Essence_Computation_and_ReasoningESCR_based_Revelation_of_the_Goldbach's_conjecture

[333] Yucong Duan,  https://www.researchgate.net/publication/358722876_Existence_Computation_and_ReasoningEXCR_and_Essence_Computation_and_ReasoningESCR_based_Revelation_of_Collatz_Conjecture

[334] Ting Hu, Yucong Duan, Yingtian Mei: Purpose Driven Balancing of Fairness for Emotional Content Transfer Over DIKW. HPCC/DSS/SmartCity/DependSys 2021: 2074-2081

[335] Yucong Duan,面向多模态(DIKW)数字资产全生命期的自适应效率vs.安全性自适应的区块链共识机制研究。 https://blog.Culturenet.cn/blog-3429562-1231142.html

[336] Yucong DuanA Holism Trusted Semantic Computing based on DIKWP Integrating Trusted Data *Trusted Information*Trusted Knowledge*Trusted Wisdom* Trusted Purpose, https://blog.Culturenet.cn/home.php?mod=space&uid=3429562&do=blog&id=1361164

[337] Yucong Duan. 面向数据,信息,知识过载的跨模态,跨尺度,介尺度主观认知语义建模与分析https://blog.Culturenet.cn/blog-3429562-1228985.html

[338] Yucong Duan, DIKWP based Digital Governance: Current Trends from "Data Governance","Information Governance", "Knowledge Governance" to "Wisdom Governance", October 2022, DOI: 10.13140/RG.2.2.15074.40645

[339] Yucong Duan, A Holism Trusted Semantic Computing based on DIKWP Integrating Trusted Data *Trusted Information*Trusted Knowledge*Trusted Wisdom* Trusted Purpose, October 2022, DOI: 10.13140/RG.2.2.22073.65128

 

 




https://m.sciencenet.cn/blog-3429562-1365170.html

上一篇:数字经济的终极DIKWP形态:从“不对称数据经济、不对称信息经济”到“对称知识经济、对称智慧经济”
下一篇:2022年回顾之三撞脸系列:项目、专利、论文

0

该博文允许注册用户评论 请点击登录 评论 (4 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2023-1-31 01:30

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部