TY - GEN
T1 - Unravelling Expressive Delegations
T2 - 38th AAAI Conference on Artificial Intelligence, AAAI 2024
AU - Tyrovolas, Giannis
AU - Constantinescu, Andrei
AU - Elkind, Edith
N1 - Publisher Copyright:
Copyright © 2024, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2024/3/25
Y1 - 2024/3/25
N2 - We consider binary group decision-making under a rich model of liquid democracy: agents submit ranked delegation options, where each option may be a function of multiple agents' votes; e.g., “I vote yes if a majority of my friends vote yes.” Such ballots are unravelled into a profile of direct votes by selecting one entry from each ballot so as not to introduce cyclic dependencies. We study delegation via monotonic Boolean functions, and two unravelling procedures: MINSUM, which minimises the sum of the ranks of the chosen entries, and its egalitarian counterpart, MINMAX. We provide complete computational dichotomies: MINSUM is hard to compute (and approximate) as soon as any nontrivial functions are permitted, and polynomial otherwise; for MINMAX the easiness results extend to arbitrary-arity logical ORs and ANDs taken in isolation, but not beyond. For the classic model of delegating to individual agents, we give asymptotically near-tight algorithms for carrying out the two procedures, and efficient algorithms for finding optimal unravellings with the highest vote count for a given alternative. These algorithms inspire novel tie-breaking rules for the setup of voting to change a status quo. We then introduce a new axiom, which can be viewed as a variant of the participation axiom, and use algorthmic techniques developed earlier in the paper to show that it is satisfied by MINSUM and a lexicographic refinement of MINMAX (but not MINMAX itself).
AB - We consider binary group decision-making under a rich model of liquid democracy: agents submit ranked delegation options, where each option may be a function of multiple agents' votes; e.g., “I vote yes if a majority of my friends vote yes.” Such ballots are unravelled into a profile of direct votes by selecting one entry from each ballot so as not to introduce cyclic dependencies. We study delegation via monotonic Boolean functions, and two unravelling procedures: MINSUM, which minimises the sum of the ranks of the chosen entries, and its egalitarian counterpart, MINMAX. We provide complete computational dichotomies: MINSUM is hard to compute (and approximate) as soon as any nontrivial functions are permitted, and polynomial otherwise; for MINMAX the easiness results extend to arbitrary-arity logical ORs and ANDs taken in isolation, but not beyond. For the classic model of delegating to individual agents, we give asymptotically near-tight algorithms for carrying out the two procedures, and efficient algorithms for finding optimal unravellings with the highest vote count for a given alternative. These algorithms inspire novel tie-breaking rules for the setup of voting to change a status quo. We then introduce a new axiom, which can be viewed as a variant of the participation axiom, and use algorthmic techniques developed earlier in the paper to show that it is satisfied by MINSUM and a lexicographic refinement of MINMAX (but not MINMAX itself).
UR - http://www.scopus.com/inward/record.url?scp=85189283473&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85189283473&partnerID=8YFLogxK
U2 - 10.1609/aaai.v38i9.28853
DO - 10.1609/aaai.v38i9.28853
M3 - Conference contribution
AN - SCOPUS:85189283473
T3 - Proceedings of the AAAI Conference on Artificial Intelligence
SP - 9918
EP - 9925
BT - Technical Tracks 14
A2 - Wooldridge, Michael
A2 - Dy, Jennifer
A2 - Natarajan, Sriraam
PB - Association for the Advancement of Artificial Intelligence
Y2 - 20 February 2024 through 27 February 2024
ER -