AI for Mechanism Design and Strategic Decision Making (AIMS)

Xiaotie Deng, Jian Xu, Fabrizio Silvestri, Alireza Fallah, Yurong Chen, Brian Hu Zhang, Haoran Sun

Keywords: AI, Mechanism Design, Strategic Decision Making, Algorithmic Game Theory, Large Language Models

Abstract: The rapid advancement of artificial intelligence, particularly in machine learning and foundation models, is creating a new synergy with the classical fields of Mechanism Design (MD) and Strategic Decision Making (SDM). This workshop aims to catalyze interdisciplinary research at this intersection, exploring how modern AI methods can redefine, extend, and automate core problems in MD and SDM. We will bring together researchers from machine learning, economics, and computer science to investigate this symbiotic relationship, focusing on topics such as novel AI applications for MD \& SDM and theoretical models for AI-driven methods. This workshop will highlight not only cutting-edge research but also impactful real-world applications and case studies from industry. Overall, our goal is to provide a premier platform for disseminating novel ideas, fostering collaboration across communities, and charting the future of intelligent economic systems.

Submission Number: 27