Ann N Y Acad Sci. 2022 Feb 4. doi: 10.1111/nyas.14734. Online ahead of print.
ABSTRACT
Group decision making is an important, long-standing, and ubiquitous problem in all societies, where collective decisions must be made by a group of agents despite individual conflicting preferences. This has been a classical and active topic for research in many disciplines, including economics, political science, cognitive and behavioral sciences, statistics, mathematics, and computer science. In this article, I survey some recent progress in theoretical, algorithmic, and engineering work toward building AI-powered intelligent systems to help agents make group decisions based on uncertain preferences; these systems leverage principles, ideas, and methodologies from multiple disciplines. Empowered by AI, group decision making can handle a broader range of situations at relatively large scales.
PMID:35122259 | DOI:10.1111/nyas.14734
