@inproceedings{d24a8db0afbf40588923859c9124629c,
title = "Learning cooperative solution concepts from voting behavior: A case study on the Israeli Knesset",
abstract = "Most frameworks for computing solution concepts in hedonic games are theoretical in nature, and require complete knowledge of all agent preferences, an impractical assumption in real-world settings. This paper presents the first application of strategic hedonic game models on real-world data. We show that PAC stable solutions can reflect Members of Knesset' political positions and reveal politicians who are known to deviate from party lines. Moreover, these models compare favorably to machine learning models.",
keywords = "Cooperative games, Hedonic games, Israeli Knesset, PAC, PAC stability, Parliamentary politics",
author = "Omer Lev and Wei Lu and Alan Tsang and Yair Zick",
note = "Publisher Copyright: {\textcopyright} 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",
year = "2021",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "1560--1562",
booktitle = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021",
}