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.
Authors
- Niclas Kannengießer (ORCID: https://orcid.org/0000-0002-2880-3361)
- Daniel Kirste (ORCID: https://orcid.org/0009-0007-3752-5109)
- Ali Sunyaev (ORCID: https://orcid.org/0000-0002-4353-8519)
- Ricky Lamberty (ORCID: https://orcid.org/0000-0002-7767-1924)
Institutions
- Karlsruhe Institute of Technology (DE)
- Klinik Schillerhöhe (DE)
- Robert Bosch (Taiwan) (TW)
- Technical University of Munich (DE)
- Robert Bosch (Germany) (DE)
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