基于演化博弈的数据收益权分配机制设计

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

基于演化博弈的数据收益权分配机制设计. / Shang, Xixue; Han, Haiting; Zhu, Zhengzhou.

I: COMPUTER SCIENCE, Bind 48, Nr. 3, 03.2021, s. 144-150.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Shang, X, Han, H & Zhu, Z 2021, '基于演化博弈的数据收益权分配机制设计', COMPUTER SCIENCE, bind 48, nr. 3, s. 144-150. https://doi.org/10.11896/jsjkx.201100056

APA

Shang, X., Han, H., & Zhu, Z. (2021). 基于演化博弈的数据收益权分配机制设计. COMPUTER SCIENCE, 48(3), 144-150. https://doi.org/10.11896/jsjkx.201100056

Vancouver

Shang X, Han H, Zhu Z. 基于演化博弈的数据收益权分配机制设计. COMPUTER SCIENCE. 2021 mar;48(3):144-150. https://doi.org/10.11896/jsjkx.201100056

Author

Shang, Xixue ; Han, Haiting ; Zhu, Zhengzhou. / 基于演化博弈的数据收益权分配机制设计. I: COMPUTER SCIENCE. 2021 ; Bind 48, Nr. 3. s. 144-150.

Bibtex

@article{5b9f191b1f0044edb9e104143ecc4a7e,
title = "基于演化博弈的数据收益权分配机制设计",
abstract = "In order to solve the problems of the difficulty of complete delivery of data in the marketization of data elements, the difficulty of fair division of data property rights, and the advantage of enterprises in the game between individuals and enterprises, This research proposes the concept of Data Utilization. Get rid of the traditional meaningless debates about data property rights, and provide solutions for better solving the income mismatch in the data market. At the same time, the evolutionary game analysis of economics is used to transform the direct distribution of data revenue into rational individual and enterprise mutual trial and error, and to explore the group advantage strategies that tend to converge under different conditions. Realize the fairness of distribution and the {"}Kaldor–Hicks efficiency{"}. Finally, the weight formula of the proportionality principle injustice is introduced to make the judicial trial computable, programmable, and controllable. Algorithm analysis and simulation experiments prove that the game framework can well achieve market equilibrium under realistic conditions, and find the convergence characteristics and convergence speeds under different W_{ij} conditions, providing an important quantitative analysis tool for judicial practice.",
keywords = "Det Natur- og Biovidenskabelige Fakultet, Data protection, Det Juridiske Fakultet, Robert Alexy, Det Samfundsvidenskabelige Fakultet, ECONOMICS, Game theory, Computational Social Science",
author = "Xixue Shang and Haiting Han and Zhengzhou Zhu",
year = "2021",
month = "3",
doi = "10.11896/jsjkx.201100056",
language = "Kinesisk",
volume = "48",
pages = "144--150",
journal = "COMPUTER SCIENCE",
issn = "1002-137X",
number = "3",

}

RIS

TY - JOUR

T1 - 基于演化博弈的数据收益权分配机制设计

AU - Shang, Xixue

AU - Han, Haiting

AU - Zhu, Zhengzhou

PY - 2021/3

Y1 - 2021/3

N2 - In order to solve the problems of the difficulty of complete delivery of data in the marketization of data elements, the difficulty of fair division of data property rights, and the advantage of enterprises in the game between individuals and enterprises, This research proposes the concept of Data Utilization. Get rid of the traditional meaningless debates about data property rights, and provide solutions for better solving the income mismatch in the data market. At the same time, the evolutionary game analysis of economics is used to transform the direct distribution of data revenue into rational individual and enterprise mutual trial and error, and to explore the group advantage strategies that tend to converge under different conditions. Realize the fairness of distribution and the "Kaldor–Hicks efficiency". Finally, the weight formula of the proportionality principle injustice is introduced to make the judicial trial computable, programmable, and controllable. Algorithm analysis and simulation experiments prove that the game framework can well achieve market equilibrium under realistic conditions, and find the convergence characteristics and convergence speeds under different W_{ij} conditions, providing an important quantitative analysis tool for judicial practice.

AB - In order to solve the problems of the difficulty of complete delivery of data in the marketization of data elements, the difficulty of fair division of data property rights, and the advantage of enterprises in the game between individuals and enterprises, This research proposes the concept of Data Utilization. Get rid of the traditional meaningless debates about data property rights, and provide solutions for better solving the income mismatch in the data market. At the same time, the evolutionary game analysis of economics is used to transform the direct distribution of data revenue into rational individual and enterprise mutual trial and error, and to explore the group advantage strategies that tend to converge under different conditions. Realize the fairness of distribution and the "Kaldor–Hicks efficiency". Finally, the weight formula of the proportionality principle injustice is introduced to make the judicial trial computable, programmable, and controllable. Algorithm analysis and simulation experiments prove that the game framework can well achieve market equilibrium under realistic conditions, and find the convergence characteristics and convergence speeds under different W_{ij} conditions, providing an important quantitative analysis tool for judicial practice.

KW - Det Natur- og Biovidenskabelige Fakultet

KW - Data protection

KW - Det Juridiske Fakultet

KW - Robert Alexy

KW - Det Samfundsvidenskabelige Fakultet

KW - ECONOMICS

KW - Game theory

KW - Computational Social Science

U2 - 10.11896/jsjkx.201100056

DO - 10.11896/jsjkx.201100056

M3 - Tidsskriftartikel

VL - 48

SP - 144

EP - 150

JO - COMPUTER SCIENCE

JF - COMPUTER SCIENCE

SN - 1002-137X

IS - 3

ER -

ID: 256268136