The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the ne...The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’attention.First,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is adopted.Then,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as followers.Its equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention pricing.Moreover,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is demonstrated.Finally,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different conditions.This study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.展开更多
The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic.To address this issue and take advantage of the short-range comm...The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic.To address this issue and take advantage of the short-range communication capabilities of smart mobile devices,the decentralized content sharing approach has emerged as a suitable and promising alternative.Decentralized content sharing uses a peer-to-peer network among colocated smart mobile device users to fulfil content requests.Several articles have been published to date to address its different aspects including group management,interest extraction,message forwarding,participation incentive,and content replication.This survey paper summarizes and critically analyzes recent advancements in decentralized content sharing and highlights potential research issues that need further consideration.展开更多
The study examined the implication of a decentralized Value Added Tax system for states in Nigeria.It is a theoretical presentation that made is made of journals,articles,and data from the National Bureau of Statistic...The study examined the implication of a decentralized Value Added Tax system for states in Nigeria.It is a theoretical presentation that made is made of journals,articles,and data from the National Bureau of Statistics(NBS)accessed on Google Scholar Websites.A total of eighty(80)articles were accessed.Results from a theoretical review revealed that while few states in Nigeria are in favor of a decentralized VAT administration in the country,quite a number of them(States)are averse to the new VAT regime due to differences among the states in terms of volume of business activities and economic power as many of the states rely on federal allocation.The study,therefore,recommends Partial Decentralization(PD)of VAT administration in Nigeria as a measure of autonomy for states that will guarantee fairness in resource control in the Nigerian Society.展开更多
From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovati...From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovation,but has not received sufficient attention.In this paper,we give an overview and perspective on machine learning paradigms.First,we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge perspective.Accordingly,we give an overview on three basic and twelve extended learning paradigms,such as Ensemble Learning,Transfer Learning,etc.,with figures in unified style.We further analyze three advanced paradigms,i.e.,AlphaGo,AlphaFold and ChatGPT.Second,to enable more efficient and effective scientific discovery,we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science(DeSci)movement based on decentralized autonomous organization(DAO).To this end,we design the Hanoi framework,which integrates human factors,parallel intelligence based on a combination of artificial systems and the natural world,and the DAO to inspire AI innovations.展开更多
Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations(DAOs),there is no consensus on what constitutes a DAO.This paper provides an in-depth study of DAOs by analyzing their defi...Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations(DAOs),there is no consensus on what constitutes a DAO.This paper provides an in-depth study of DAOs by analyzing their definitions,characteristics,and emerging developments.Existing definitions in the literature hardly recognize common functionalities and intermingle coded DAOs,DAO deployment platforms,and blockchain DAOs.We developed a comprehensive DAO definition by reviewing the literature and empirically analyzing 1,859 DAOs.The findings show that many DAOs were inactive and that a threshold of 20 tokenholders is a tipping point for DAOs to survive over time and maintain sustained levels of activity.Finally,based on an empirical analysis of 9,845 perceived DAOs,we identified the emerging development of off-chain voting.This emerging development challenges the autonomous nature of DAOs.We recommend further research to investigate the effect of governance structures on their long-term sustainability and viability for both on-chain and off-chain DAOs.展开更多
Context:Decentralized autonomous organizations are a new form of smart contract-based governance.Decentralized autonomous organization platforms,which support the creation of such organizations,are becoming increasing...Context:Decentralized autonomous organizations are a new form of smart contract-based governance.Decentralized autonomous organization platforms,which support the creation of such organizations,are becoming increasingly popular,such as Aragon and Colony.Selecting the best fitting platform is challenging for organizations,as a significant number of decision criteria,such as popularity,developer availability,governance issues and consistent documentation of such platforms,should be considered.Additionally,decision-makers at the organizations are not experts in every domain,so they must continuously acquire volatile knowledge regarding such platforms.Objective:Supporting decision-makers in selecting the right decentralized autonomous organization platforms by designing an effective decision model is the main objective of this study.We aim to provide more insight into their selection process and reduce time and effort significantly by designing a decision model.Method:This study presents a decision model for the decentralized autonomous organization platform selection problem.The decision model captures knowledge regarding such platforms and concepts systematically.This model is based on an existing theoretical framework that assists software engineers with a set of multi-criteria decision-making problems in software production.Results:We conducted three industry case studies in the context of three decentralized autonomous organizations to evaluate the effectiveness and efficiency of the decision model in assisting decision-makers.The case study participants declared that the decision model provides significantly more insight into their selection process and reduces time and effort.Conclusion:We observe in the empirical evidence from the case studies that decision-makers can make more rational,efficient,and effective decisions with the decision model.Furthermore,the reusable form of the captured knowledge regarding decentralized autonomous organization platforms can be employed by other researchers in their future investigations.展开更多
Frequency is a key issue for the stable operation of autonomous microgrid(AMG) with a large penetration of intermittent renewable energy resources.The fast development of demand-side response technology provides a new...Frequency is a key issue for the stable operation of autonomous microgrid(AMG) with a large penetration of intermittent renewable energy resources.The fast development of demand-side response technology provides a new solution for the frequency control of the AMG.In this paper,a novel decentralized demand control strategy(DDC) for family-friendly controllable refrigerators considering customer comfort level is proposed to regulate the frequency of AMG in coordination with the energy storage system(ESS).The refrigerator under DDC responds to the local frequency signals quickly and adjusts its operation cycle dynamically.Meanwhile,a customer participation degree which is proportional to the frequency deviation is introduced to evaluate the customer comforts when responding to the frequency of AMG.Finally,a benchmark low voltage AMG is established as a test system to verify the effectiveness of the proposed DDC strategy.Simulation results show that the DDC strategy can not only improve the frequency control effect of AMG effectively but also guarantee the customer comforts as well as reduce the capacity of ESS.展开更多
基金supported by the National Natural Science Foundation of China(62103411)the Science and Technology Development Fund of Macao SAR(0093/2023/RIA2,0050/2020/A1)。
文摘The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’attention.First,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is adopted.Then,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as followers.Its equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention pricing.Moreover,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is demonstrated.Finally,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different conditions.This study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.
文摘The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic.To address this issue and take advantage of the short-range communication capabilities of smart mobile devices,the decentralized content sharing approach has emerged as a suitable and promising alternative.Decentralized content sharing uses a peer-to-peer network among colocated smart mobile device users to fulfil content requests.Several articles have been published to date to address its different aspects including group management,interest extraction,message forwarding,participation incentive,and content replication.This survey paper summarizes and critically analyzes recent advancements in decentralized content sharing and highlights potential research issues that need further consideration.
文摘The study examined the implication of a decentralized Value Added Tax system for states in Nigeria.It is a theoretical presentation that made is made of journals,articles,and data from the National Bureau of Statistics(NBS)accessed on Google Scholar Websites.A total of eighty(80)articles were accessed.Results from a theoretical review revealed that while few states in Nigeria are in favor of a decentralized VAT administration in the country,quite a number of them(States)are averse to the new VAT regime due to differences among the states in terms of volume of business activities and economic power as many of the states rely on federal allocation.The study,therefore,recommends Partial Decentralization(PD)of VAT administration in Nigeria as a measure of autonomy for states that will guarantee fairness in resource control in the Nigerian Society.
基金This work was supported by the National Key Research and Development Program of China(2020YFB2104001)the National Natural Science Foundation of China(62271485,61903363,U1811463)Open Project of the State Key Laboratory for Management and Control of Complex Systems(20220117).
文摘From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovation,but has not received sufficient attention.In this paper,we give an overview and perspective on machine learning paradigms.First,we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge perspective.Accordingly,we give an overview on three basic and twelve extended learning paradigms,such as Ensemble Learning,Transfer Learning,etc.,with figures in unified style.We further analyze three advanced paradigms,i.e.,AlphaGo,AlphaFold and ChatGPT.Second,to enable more efficient and effective scientific discovery,we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science(DeSci)movement based on decentralized autonomous organization(DAO).To this end,we design the Hanoi framework,which integrates human factors,parallel intelligence based on a combination of artificial systems and the natural world,and the DAO to inspire AI innovations.
文摘Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations(DAOs),there is no consensus on what constitutes a DAO.This paper provides an in-depth study of DAOs by analyzing their definitions,characteristics,and emerging developments.Existing definitions in the literature hardly recognize common functionalities and intermingle coded DAOs,DAO deployment platforms,and blockchain DAOs.We developed a comprehensive DAO definition by reviewing the literature and empirically analyzing 1,859 DAOs.The findings show that many DAOs were inactive and that a threshold of 20 tokenholders is a tipping point for DAOs to survive over time and maintain sustained levels of activity.Finally,based on an empirical analysis of 9,845 perceived DAOs,we identified the emerging development of off-chain voting.This emerging development challenges the autonomous nature of DAOs.We recommend further research to investigate the effect of governance structures on their long-term sustainability and viability for both on-chain and off-chain DAOs.
基金funded in part by the HTSM HiTMaT Grant entitled"SearchSECO"。
文摘Context:Decentralized autonomous organizations are a new form of smart contract-based governance.Decentralized autonomous organization platforms,which support the creation of such organizations,are becoming increasingly popular,such as Aragon and Colony.Selecting the best fitting platform is challenging for organizations,as a significant number of decision criteria,such as popularity,developer availability,governance issues and consistent documentation of such platforms,should be considered.Additionally,decision-makers at the organizations are not experts in every domain,so they must continuously acquire volatile knowledge regarding such platforms.Objective:Supporting decision-makers in selecting the right decentralized autonomous organization platforms by designing an effective decision model is the main objective of this study.We aim to provide more insight into their selection process and reduce time and effort significantly by designing a decision model.Method:This study presents a decision model for the decentralized autonomous organization platform selection problem.The decision model captures knowledge regarding such platforms and concepts systematically.This model is based on an existing theoretical framework that assists software engineers with a set of multi-criteria decision-making problems in software production.Results:We conducted three industry case studies in the context of three decentralized autonomous organizations to evaluate the effectiveness and efficiency of the decision model in assisting decision-makers.The case study participants declared that the decision model provides significantly more insight into their selection process and reduces time and effort.Conclusion:We observe in the empirical evidence from the case studies that decision-makers can make more rational,efficient,and effective decisions with the decision model.Furthermore,the reusable form of the captured knowledge regarding decentralized autonomous organization platforms can be employed by other researchers in their future investigations.
基金supported by the Special Fund of the National Basic Research Program of China ("973" Project) (Grant Nos. 2009CB219701,2010CB234608)the National Natural Science Foundation of China (Grant No. 51277128)+1 种基金the Tianjin Municipal Science and Technology Development Program of China (Grant No. 09JCZDJC25000)the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20090032110064)
文摘Frequency is a key issue for the stable operation of autonomous microgrid(AMG) with a large penetration of intermittent renewable energy resources.The fast development of demand-side response technology provides a new solution for the frequency control of the AMG.In this paper,a novel decentralized demand control strategy(DDC) for family-friendly controllable refrigerators considering customer comfort level is proposed to regulate the frequency of AMG in coordination with the energy storage system(ESS).The refrigerator under DDC responds to the local frequency signals quickly and adjusts its operation cycle dynamically.Meanwhile,a customer participation degree which is proportional to the frequency deviation is introduced to evaluate the customer comforts when responding to the frequency of AMG.Finally,a benchmark low voltage AMG is established as a test system to verify the effectiveness of the proposed DDC strategy.Simulation results show that the DDC strategy can not only improve the frequency control effect of AMG effectively but also guarantee the customer comforts as well as reduce the capacity of ESS.
