Attention Markets of Blockchain-Based Decentralized Autonomous Organizations

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.

A decision model for decentralized autonomous organization platform selection: Three industry case studies

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.

The ins and outs of decentralized autonomous organizations(DAOs)unraveling the definitions,characteristics,and emerging developments of DAOs

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.

DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT

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.

Blockchain-as-a-Service and Blockchain-as-a-Partner: Implementation options for supply chain optimization

Smart contracts show a high potential to make supply chain management strategies epochally leap towards higher levels of productivity,not only in the functioning of production processes but also in terms of product innovation and overall economic returns.This article illustrates the principle of Income Sharing as a highly performing economic strategy for supply chains with a natural implementation in blockchain smart contracts.It proposes a blockchain-based architecture that uses smart contracts to implement various algorithmic versions of the Income Sharing principle among companies participating in a supply chain.The formation of the total income and its consequent redistribution are calculated taking into account the role of the technological platform automating these procedures,which therefore becomes a party to the inter-company business project of a supply chain in the alternative roles,as feasible in business practice,of Blockchain-as-a-Service and Blockchain-as-a-Partner.The approach is implemented on Hyperledger Fabric,the most widespread platform for private and consortium blockchains.We compare and justify this design choice with the alternative given by public blockchains,with specific attention to Ethereum.

游戏作为DAO媒介:数字文明时代社会的“再组织”方式——兼论媒介与人类存在方式的演进

数字文明时代充满“游戏精神”,游戏作为媒介的价值凸显并带来新社会组织方式。媒介隐喻观为理解媒介的社会影响机制提供理论支点,媒介作为人的延伸和关系连接将形塑个人行动与群体交往方式,社会结构在媒介技术的迭代下从部落式向DAO (分布式自驱组织)式演进。基于此,本研究提出,数字媒介的功能结构日趋与游戏重视人性自由和建构开放式规则的品性类同,数字文明时代游戏将作为兼具人性化关系连接与智能化算法整合双重价值面向的DAO媒介存在,通过同质化与异质化再组织路径建立起依靠算法技术保障、以“游戏人”为基本单位的DAO社会,实现社会分布式自组织的自运转、自治理和自演化。