基于演化博弈的数据收益权分配机制设计
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Documents
- Mechanism Design of Right to Earnings of Data Utilization Based on Evolutionary Game Model
Final published version, 2.32 MB, PDF document
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.
Translated title of the contribution | Mechanism Design of Right to Earnings of Data Utilization Based on Evolutionary Game Model |
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Original language | Chinese |
Journal | COMPUTER SCIENCE |
Volume | 48 |
Issue number | 3 |
Pages (from-to) | 144-150 |
Number of pages | 7 |
ISSN | 1002-137X |
DOIs | |
Publication status | Published - Mar 2021 |
- Faculty of Science - Data protection
- Faculty of Law - Robert Alexy
- Faculty of Social Sciences - ECONOMICS, Game theory, Computational Social Science
Research areas
Links
- http://www.jsjkx.com/CN/10.11896/jsjkx.201100056
Final published version
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ID: 256268136