@inbook{5eaaac9c096d448caabe4068091dadbb,
title = "Enhancing the efficiency of systems with overlapping coalition formation",
abstract = "We studied the decision-making process of autonomous agents within the Electric Vehicle (EV) charging domain, where EV charging suppliers, acting as autonomous agents, interact to maximize their utilities in a shared environment. Initially, we modeled the suppliers' utilities in an EV charging scenario as a non-cooperative game aimed at achieving Pareto-optimal outcomes. We then expanded this model to include two cooperative game approaches: Non-Overlapping Coalition Formation and Overlapping Coalition Formation. Our results indicate that allowing suppliers to form partial coalitions through the overlapping coalition formation model significantly enhances outcomes compared to both the non-overlapping coalition formation and non-cooperative models.",
keywords = "Cooperative Games, EV Charging Market, Multi-Agent Systems, Overlapping Coalition Formation",
author = "Jaber Valizadeh and Dongmo Zhang and Omar Mubin",
year = "2025",
doi = "10.1007/978-981-96-0125-7_23",
language = "English",
isbn = "9789819601240",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "284--290",
editor = "Rafik Hadfi and Patricia Anthony and Alok Sharma and Takayuki Ito and Quan Bai",
booktitle = "PRICAI 2024: Trends in Artificial Intelligence, 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part IV",
}
