基于演化博弈的数据收益权分配机制设计
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基于演化博弈的数据收益权分配机制设计. / Shang, Xixue; Han, Haiting; Zhu, Zhengzhou.
In: COMPUTER SCIENCE, Vol. 48, No. 3, 03.2021, p. 144-150.Research output: Contribution to journal › Journal article › Research › peer-review
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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