Unravelling Expressive Delegations: Complexity and Normative Analysis

Authors

  • Giannis Tyrovolas Independent
  • Andrei Constantinescu ETH Zurich
  • Edith Elkind University of Oxford

DOI:

https://doi.org/10.1609/aaai.v38i9.28853

Keywords:

GTEP: Social Choice / Voting

Abstract

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 non-trivial 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 algorithmic techniques developed earlier in the paper to show that it is satisfied by MinSum and a lexicographic refinement of MinMax (but not MinMax itself).

Published

2024-03-24

How to Cite

Tyrovolas, G., Constantinescu, A., & Elkind, E. (2024). Unravelling Expressive Delegations: Complexity and Normative Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 9918-9925. https://doi.org/10.1609/aaai.v38i9.28853

Issue

Section

AAAI Technical Track on Game Theory and Economic Paradigms