United for Change Deliberative Coalition Formation to Change the Status Quo
| Authors |
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| Publication date | 2021 |
| Book title | AAAI-21, IAAI-21, EAAI-21 proceedings |
| Book subtitle | a virtual conference, February 2-9, 2021 : Thirty-Fifth AAAI Conference on Artificial Intelligence, Thirty-Third Conference on Innovative Applications of Articicial Intelligence, Eleventh Symposium on Educational Advances in Artificial Intelligence |
| ISBN |
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| ISBN (electronic) |
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| Series | Proceedings of the AAAI Conference on Artificial Intelligence |
| Event | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
| Volume | Issue number | 6 |
| Pages (from-to) | 5339-5346 |
| Number of pages | 8 |
| Publisher | Palo Alto, California: AAAI Press |
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| Abstract |
We study a setting in which a community wishes to identify a strongly supported proposal from a large space of alternatives, in order to change the status quo. We describe a deliberation process in which agents dynamically form coalitions around proposals that they prefer over the status quo. We formulate conditions on the space of proposals and on the ways in which coalitions are formed that guarantee deliberation to succeed, that is, to terminate by identifying a proposal with the largest possible support. Our results provide theoretical foundations for the analysis of deliberative processes in systems for democratic deliberation support, such as, e.g., LiquidFeedback or Polis. |
| Document type | Conference contribution |
| Language | English |
| Related publication | United for change: deliberative coalition formation to change the status quo |
| Published at |
https://doi.org/10.1609/aaai.v35i6.16673
(Final published version)
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