Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes

Proper design of automated market makers (AMMs) is crucial for decentralized token exchanges in cryptoeconomic systems. At the intersection of software engineering and economics, AMM design is, however, complex and, if done inappropriately, can lead to financial risks and inefficiencies. To address this, 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 disciplines, providing guidance for designing AMMs tailored to diverse use cases and fostering sustainable cryptoeconomic systems.

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Publication Details

Journal
ACM Computing Surveys
Published
2025-09-26
DOI
https://doi.org/10.1145/3769669
Citations
2
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
6.26
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article

Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes

Niclas Kannengießer, Daniel Kirste, Ali Sunyaev, Ricky Lamberty
2 citations
ACM Computing Surveys
Complex Systems and Time Series Analysis
6.26
article

Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes

Niclas Kannengießer, Daniel Kirste, Ali Sunyaev, Ricky Lamberty
article en
2 citations

Abstract

Proper design of automated market makers (AMMs) is crucial for decentralized token exchanges in cryptoeconomic systems. At the intersection of software engineering and economics, AMM design is, however, complex and, if done inappropriately, can lead to financial risks and inefficiencies. To address this, 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 disciplines, providing guidance for designing AMMs tailored to diverse use cases and fostering sustainable cryptoeconomic systems.

ACM Computing SurveysVol. 58(5)
Karlsruhe Institute of Technology (DE), Klinik Schillerhöhe (DE), Robert Bosch (Taiwan) (TW), Technical University of Munich (DE), Robert Bosch (Germany) (DE)
Openalex Percentile: Top 4%
Complex Systems and Time Series Analysis
6.26
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