Representation-Compatible Power Indices
Computer Science and Game Theory
2017-10-10 v1
Abstract
This paper studies power indices based on average representations of a weighted game. If restricted to account for the lack of power of dummy voters, average representations become coherent measures of voting power, with power distributions being proportional to the distribution of weights in the average representation. This makes these indices representation-compatible, a property not fulfilled by classical power indices. Average representations can be tailored to reveal the equivalence classes of voters defined by the Isbell desirability relation, which leads to a pair of new power indices that ascribes equal power to all members of an equivalence class.
Cite
@article{arxiv.1506.05963,
title = {Representation-Compatible Power Indices},
author = {Serguei Kaniovski and Sascha Kurz},
journal= {arXiv preprint arXiv:1506.05963},
year = {2017}
}
Comments
28 pages, 1 figure, and 11 tables