Complexity Dichotomies for Unweighted Scoring Rules
Edith Hemaspaandra, Henning Schnoor

TL;DR
This paper analyzes the computational complexity of manipulation, control, and bribery in unweighted scoring rule elections, establishing dichotomy theorems for some problems and conjecturing for manipulation.
Contribution
It provides new complexity dichotomy results for control and bribery, and explores the complexity landscape of manipulation in scoring systems with limited coefficients.
Findings
Manipulation is in P for scoring rules with a constant number of coefficients.
Dichotomy theorems are established for control by deleting voters and bribery problems.
Certain scoring rules are computationally easy or hard for control and bribery, depending on their structure.
Abstract
Scoring systems are an extremely important class of election systems. We study the complexity of manipulation, constructive control by deleting voters (CCDV), and bribery for scoring systems. For manipulation, we show that for all scoring rules with a constant number of different coefficients, manipulation is in P. And we conjecture that there is no dichotomy theorem. On the other hand, we obtain dichotomy theorems for CCDV and bribery problem. More precisely, we show that both of these problems are easy for 1-approval, 2-approval, 1-veto, 2-veto, 3-veto, generalized 2-veto, and (2,1,...,1,0), and hard in all other cases. These results are the "dual" of the dichotomy theorem for the constructive control by adding voters (CCAV) problem from (Hemaspaandra, Hemaspaandra, Schnoor, AAAI 2014), but do not at all follow from that result. In particular, proving hardness for CCDV is harder…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications · Internet Traffic Analysis and Secure E-voting
