TY - JOUR
T1 - Aggregation over Metric Spaces
T2 - Proposing and voting in elections, budgeting, and legislation
AU - Bulteau, Laurent
AU - Shahaf, Gal
AU - Shapiro, Ehud
AU - Talmon, Nimrod
N1 - Funding Information:
A preliminary, short version of this work exists (Shahaf, Shapiro, & Talmon, 2019). This work includes more results and further discussions. Ehud Shapiro is the Incumbent of The Harry Weinrebe Professorial Chair of Computer Science and Biology. We thank the generous support of the Braginsky Center for the Interface between Science and the Humanities. Nimrod Talmon was supported by the Israel Science Foundation (ISF; Grant No. 630/19).
Funding Information:
Ehud Shapiro is the Incumbent of The Harry Weinrebe Professorial Chair of Computer Science and Biology. We thank the generous support of the Braginsky Center for the Interface between Science and the Humanities. Nimrod Talmon was supported by the Israel Science Foundation (ISF; Grant No. 630/19).
Publisher Copyright:
© 2021 AI Access Foundation.
PY - 2021/4/18
Y1 - 2021/4/18
N2 - We present a unifying framework encompassing a plethora of social choice settings. Viewing each social choice setting as voting in a suitable metric space, we offer a general model of social choice over metric spaces, in which-similarly to the spatial model of elections-each voter specifies an ideal element of the metric space. The ideal element acts as a vote, where each voter prefers elements that are closer to her ideal element. But it also acts as a proposal, thus making all participants equal not only as voters but also as proposers. We consider Condorcet aggregation and a continuum of solution concepts, ranging from minimizing the sum of distances to minimizing the maximum distance. We study applications of our abstract model to various social choice settings, including single-winner elections, committee elections, participatory budgeting, and participatory legislation. For each setting, we compare each solution concept to known voting rules and study various properties of the resulting voting rules. Our framework provides expressive aggregation for a broad range of social choice settings while remaining simple for voters; and may enable a unified and integrated implementation for all these settings, as well as unified extensions such as sybil-resiliency, proxy voting, and deliberative decision making.
AB - We present a unifying framework encompassing a plethora of social choice settings. Viewing each social choice setting as voting in a suitable metric space, we offer a general model of social choice over metric spaces, in which-similarly to the spatial model of elections-each voter specifies an ideal element of the metric space. The ideal element acts as a vote, where each voter prefers elements that are closer to her ideal element. But it also acts as a proposal, thus making all participants equal not only as voters but also as proposers. We consider Condorcet aggregation and a continuum of solution concepts, ranging from minimizing the sum of distances to minimizing the maximum distance. We study applications of our abstract model to various social choice settings, including single-winner elections, committee elections, participatory budgeting, and participatory legislation. For each setting, we compare each solution concept to known voting rules and study various properties of the resulting voting rules. Our framework provides expressive aggregation for a broad range of social choice settings while remaining simple for voters; and may enable a unified and integrated implementation for all these settings, as well as unified extensions such as sybil-resiliency, proxy voting, and deliberative decision making.
KW - decision theory
KW - multiagent systems
UR - http://www.scopus.com/inward/record.url?scp=85105601132&partnerID=8YFLogxK
U2 - 10.1613/jair.1.12388
DO - 10.1613/jair.1.12388
M3 - Article
SN - 1076-9757
VL - 70
SP - 1413
EP - 1439
JO - Journal of Artificial Intelligence Research
JF - Journal of Artificial Intelligence Research
ER -