A note on limit results for the Penrose-Banzhaf index
Sascha Kurz

TL;DR
This paper investigates conditions under which the Penrose-Banzhaf index converges to the weight distribution in weighted games, providing parametric examples and necessary conditions for such limit results.
Contribution
It introduces necessary conditions and parametric examples that clarify when the Penrose-Banzhaf index approaches weights in weighted games.
Findings
Identifies conditions for convergence of the Penrose-Banzhaf index to weights
Provides parametric examples illustrating these conditions
Clarifies the contrast between index and weight disparities
Abstract
It is well known that the Penrose-Banzhaf index of a weighted game can differ starkly from corresponding weights. Limit results are quite the opposite, i.e., under certain conditions the power distribution approaches the weight distribution. Here we provide parametric examples that give necessary conditions for the existence of limit results for the Penrose-Banzhaf index.
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.
