Jialiang Fan , Qianhong Wu , Qin Wang , Kun Wang , Xiaopeng Dai
{"title":"Dm 2: dapp的决策市场","authors":"Jialiang Fan , Qianhong Wu , Qin Wang , Kun Wang , Xiaopeng Dai","doi":"10.1016/j.compeleceng.2025.110364","DOIUrl":null,"url":null,"abstract":"<div><div>Effective governance is vital for the proper operation and evolution of complex blockchain systems. Traditional blockchain governance mechanisms, primarily reliant on voting, face significant challenges including majority voting errors and incentive mismatch. To address these issues, we proposed <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, a decision market designed to incentivize decision-makers and enhance decision accuracy in blockchain governance.</div><div>In <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> participants are encouraged to trade information, effectively resolving incentive shortcomings. Our marketplace can leverage collective intelligence to make decisions even when the majority opinion may be incorrect. We incorporate cryptographic techniques, including homomorphic time-lock puzzles and zero-knowledge proofs, to ensure fairness and security, preventing manipulation and ensuring proper participant rewards. Through a formal mechanism design model, we demonstrate that <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> satisfies Bayesian incentive compatibility and budget balance, promoting truthful reporting and efficient market operation. Our implementation and evaluation of <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> show its efficiency, scalability, and practicality in real-world settings.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"124 ","pages":"Article 110364"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dm 2: Decision-making market for DApps\",\"authors\":\"Jialiang Fan , Qianhong Wu , Qin Wang , Kun Wang , Xiaopeng Dai\",\"doi\":\"10.1016/j.compeleceng.2025.110364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Effective governance is vital for the proper operation and evolution of complex blockchain systems. Traditional blockchain governance mechanisms, primarily reliant on voting, face significant challenges including majority voting errors and incentive mismatch. To address these issues, we proposed <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, a decision market designed to incentivize decision-makers and enhance decision accuracy in blockchain governance.</div><div>In <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> participants are encouraged to trade information, effectively resolving incentive shortcomings. Our marketplace can leverage collective intelligence to make decisions even when the majority opinion may be incorrect. We incorporate cryptographic techniques, including homomorphic time-lock puzzles and zero-knowledge proofs, to ensure fairness and security, preventing manipulation and ensuring proper participant rewards. Through a formal mechanism design model, we demonstrate that <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> satisfies Bayesian incentive compatibility and budget balance, promoting truthful reporting and efficient market operation. Our implementation and evaluation of <span>Dm</span> <span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> show its efficiency, scalability, and practicality in real-world settings.</div></div>\",\"PeriodicalId\":50630,\"journal\":{\"name\":\"Computers & Electrical Engineering\",\"volume\":\"124 \",\"pages\":\"Article 110364\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Electrical Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045790625003076\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625003076","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Effective governance is vital for the proper operation and evolution of complex blockchain systems. Traditional blockchain governance mechanisms, primarily reliant on voting, face significant challenges including majority voting errors and incentive mismatch. To address these issues, we proposed Dm , a decision market designed to incentivize decision-makers and enhance decision accuracy in blockchain governance.
In Dm participants are encouraged to trade information, effectively resolving incentive shortcomings. Our marketplace can leverage collective intelligence to make decisions even when the majority opinion may be incorrect. We incorporate cryptographic techniques, including homomorphic time-lock puzzles and zero-knowledge proofs, to ensure fairness and security, preventing manipulation and ensuring proper participant rewards. Through a formal mechanism design model, we demonstrate that Dm satisfies Bayesian incentive compatibility and budget balance, promoting truthful reporting and efficient market operation. Our implementation and evaluation of Dm show its efficiency, scalability, and practicality in real-world settings.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.