Abstract
Decentralized Autonomous Organizations (DAOs) are sovereign digital communities that are owned by their members and that are algorithmically-controlled, usually by encoding their rules of conduct as smart contracts. Even though such communities become more popular and influential, their governance capabilities are still limited and lacking in quality. We argue that the MAS community holds the keys to improving the governance capabilities of DAOs; and that the challenge of DAO governance constitutes an important, new application area for MAS research that has the potential to have both scientific and societal impacts. Concretely, we describe DAOs and their governance needs and highlight gaps between the state of the art of MAS research and the governance needs of DAOs.
| Original language | American English |
|---|---|
| Pages (from-to) | 1768-1773 |
| Number of pages | 6 |
| Journal | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
| Volume | 2023-May |
| State | Published - 1 Jan 2023 |
| Event | 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 - London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 |
Keywords
- Coalition Formation
- Computational Social Choice
- Continuous Optimization
- Decentralized Autonomous Organization
- Liquid Democracy
- Prediction Markets
- Sampling Algorithms
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Software
- Control and Systems Engineering
Fingerprint
Dive into the research topics of 'Social Choice Around Decentralized Autonomous Organizations: On the Computational Social Choice of Digital Communities Blue Sky Ideas Track'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver