Brill, M., Delemazure, T., George, A.-M., Lackner, M., & Schmidt-Kraepelin, U. (2022). Liquid Democracy with Ranked Delegations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 4884–4891). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20417
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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Published in:
Proceedings of the 36th AAAI Conference on Artificial Intelligence
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ISBN:
1-57735-876-7
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Volume:
36 (5)
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Date (published):
28-Jun-2022
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Event name:
36th AAAI Conference on Artificial Intelligence (AAAI 2022)
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Event date:
22-Feb-2022 - 1-Mar-2022
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Event place:
United States of America (the)
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Number of Pages:
8
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Publisher:
AAAI Press, Palo Alto, CA, USA
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Peer reviewed:
Yes
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Keywords:
Game Theory And Economic Paradigms (GTEP); collective decision-making; Liquid democracy; axiomatic analysis; Delegations; real-world data; inherent trade-off; competing objectives; ranked
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Abstract:
Liquid democracy is a novel paradigm for collective decision-making that gives agents the choice between casting a direct vote or delegating their vote to another agent. We consider a generalization of the standard liquid democracy setting by allowing agents to specify multiple potential delegates, together with a preference ranking among them. This general-ization increases the number of possible delegation paths and enables higher participation rates because fewer votes are lost due to delegation cycles or abstaining agents. In order to implement this generalization of liquid democracy, we need to find a principled way of choosing between multiple delegation paths. In this paper, we provide a thorough axiomatic
analysis of the space of delegation rules, i.e., functions assigning a feasible delegation path to each delegating agent. In particular, we prove axiomatic characterizations as well as an impossibility result for delegation rules. We also analyze requirements on delegation rules that have been suggested by practitioners, and introduce novel rules with at-tractive properties. By performing an extensive experimental analysis on synthetic as well as real-world data, we compare delegation rules with respect to several quantitative criteria relating to the chosen paths and the resulting distribution of voting power. Our experiments reveal that delegation rules can be aligned on a spectrum reflecting an inherent trade-off between competing objectives.
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Project title:
Algorithms for Sustainable Group Decision Making: P31890-N31 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF))
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Project (external):
Deutsche Forschungsgemeinschaft Norwegian Research Counci