تقرير
Convergence of Multi-Issue Iterative Voting under Uncertainty
| العنوان: | Convergence of Multi-Issue Iterative Voting under Uncertainty |
|---|---|
| المؤلفون: | Kavner, Joshua, Meir, Reshef, Rossi, Francesca, Xia, Lirong |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Science and Game Theory |
| الوصف: | We study the effect of strategic behavior in iterative voting for multiple issues under uncertainty. We introduce a model synthesizing simultaneous multi-issue voting with Meir, Lev, and Rosenschein (2014)'s local dominance theory and determine its convergence properties. After demonstrating that local dominance improvement dynamics may fail to converge, we present two sufficient model refinements that guarantee convergence from any initial vote profile for binary issues: constraining agents to have O-legal preferences and endowing agents with less uncertainty about issues they are modifying than others. Our empirical studies demonstrate that although cycles are common when agents have no uncertainty, introducing uncertainty makes convergence almost guaranteed in practice. Comment: 19 pages, 4 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2301.08873 |
| رقم الأكسشن: | edsarx.2301.08873 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |