Abstract
Automated market makers (AMMs) are one of the most prominent decentralized finance (DeFi) applications. They allow users to exchange units of different types of crypto-assets, without the need to find a counter-party. There are several implementations and models for AMMs, featuring a variety of sophisticated economic mechanisms. We present a theory of AMMs. The core of our theory is an abstract operational model of the interactions between users and AMMs, which can be concretised by instantiating the economic mechanisms. We exploit our theory to formally prove a set of fundamental properties of AMMs, characterizing both structural and economic aspects. We do this by abstracting from the actual economic mechanisms used in implementations and identifying sufficient conditions which ensure the relevant properties. Notably, we devise a general solution to the arbitrage problem, the main game-theoretic foundation behind the economic mechanisms of AMMs.
Original language | English |
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Title of host publication | Coordination Models and Languages |
Editors | Ferruccio Damiani, Ornela Dardha |
Publisher | Springer |
Publication date | 2021 |
Pages | 168-187 |
ISBN (Print) | 9783030781415 |
DOIs | |
Publication status | Published - 2021 |
Event | 23rd IFIP WG 6.1 International Conference on Coordination Models and Languagesec 2021 - Virtual, Online Duration: 14 Jun 2021 → 18 Jun 2021 http://www.discotec.org/2021/coordination.html |
Conference
Conference | 23rd IFIP WG 6.1 International Conference on Coordination Models and Languagesec 2021 |
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City | Virtual, Online |
Period | 14/06/2021 → 18/06/2021 |
Internet address |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12717 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Funding Information:Massimo Bartoletti is partially supported by Conv. Fondazione di Sardegna & Atenei Sardi project F74I19000900007 ADAM. James Hsin-yu Chiang is supported by the PhD School of DTU Compute. Alberto Lluch Lafuente is partially supported by the EU H2020-SU-ICT-03-2018 Project No. 830929 CyberSec4Europe (cybersec4europe.eu).
Funding Information:
Acknowledgements. Massimo Bartoletti is partially supported by Conv. Fondazione
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.