加密经济系统中的自动做市商：分类和原型

IF 28 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2025-09-26 DOI:10.1145/3769669

Daniel Kirste, Niclas Kannengießer, Ricky Lamberty, Ali Sunyaev

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引用次数: 0

摘要

设计自动做市商（amm）对于加密经济系统中的分散代币交换至关重要。在软件工程和经济学的交叉点上，AMM设计是复杂的，如果做得不正确，可能会导致财务风险和效率低下。我们开发了一种AMM分类法，用于系统地比较AMM设计，并提出了三种满足代币发行和交换关键要求的AMM原型。这项工作将软件工程和经济观点联系起来，为帮助开发人员设计适合不同用例的amm提供见解，并促进可持续的加密经济系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes

Designing automated market makers (AMMs) is crucial for decentralized token exchanges in cryptoeconomic systems. At the intersection of software engineering and economics, AMM design is complex and, if done incorrectly, can lead to financial risks and inefficiencies. We developed an AMM taxonomy for systematically comparing AMM designs and propose three AMM archetypes that meet key requirements for token issuance and exchange. This work bridges software engineering and economic perspectives, providing insights to help developers design AMMs tailored to diverse use cases and foster sustainable cryptoeconomic systems.

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.