Blockchain-Based Decentralized Reward Sharing: The case of mining pools

IF 1.1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jens Gudmundsson, J. Hougaard
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引用次数: 0

Abstract

We introduce a reciprocity protocol , an innovative approach to coordinating and sharing rewards in blockchains. Inherently decentralized and implementable, it puts emphasis on incentives rather than forcing specific sharing rules from the outset. Analyzing the non-cooperative game the protocol induces, we identify a robust, strict, and Pareto-dominant symmetric equilibrium. In it, even self-centered participants show extensive systemic reciprocity. Thus, despite a setting that is generally unfavorable to reciprocal behavior, the protocol enables users to build trust between themselves by taking on a role akin to a social contract.
基于区块链的去中心化奖励分享:矿池案例
我们引入了互惠协议,这是一种在区块链中协调和分享奖励的创新方法。该协议本质上是去中心化和可实施的,它强调激励机制,而不是从一开始就强加特定的分享规则。通过分析该协议引发的非合作博弈,我们发现了一个稳健、严格和帕累托占优的对称均衡。在这个均衡中,即使是以自我为中心的参与者也会表现出广泛的系统互惠性。因此,尽管这种环境通常不利于互惠行为,但该协议却能让用户通过扮演类似于社会契约的角色来建立彼此之间的信任。
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来源期刊
ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
3.80
自引率
0.00%
发文量
11
期刊介绍: The ACM Transactions on Economics and Computation welcomes submissions of the highest quality that concern the intersection of computer science and economics. Of interest to the journal is any topic relevant to both economists and computer scientists, including but not limited to the following: Agents in networks Algorithmic game theory Computation of equilibria Computational social choice Cost of strategic behavior and cost of decentralization ("price of anarchy") Design and analysis of electronic markets Economics of computational advertising Electronic commerce Learning in games and markets Mechanism design Paid search auctions Privacy Recommendation / reputation / trust systems Systems resilient against malicious agents.
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