Algorithmic Game Theory
Research Area Members
Overview
Algorithmic Game Theory is a research area spanning theoretical computer science, artificial intelligence, and economics, and additionally drawing on disciplines such as operations research, psychology and statistics. It brings a computational lens to bear on the design and analysis of multi-agent systems. Some paradigmatic questions include:
- What is the best way to divide scarce goods across agents to maximize their welfare, their happiness, or the revenue achieved by the seller?
- How can computer systems such as networks be designed to perform well when their users respond strategically to their design?
- What is the best way to aggregate agents' preferences across outcomes to realize a good social decision?
- How can goods most fairly be divided across a group of agents who value these goods differently?
- How can a group of evaluators (of student assignments; conference papers; restaurants) be incentivized to provide honest and thoughtful feedback in a setting where monetary payments are not possible?
What predictive model of behaviour best describes the strategic reasoning of actual human subjects?
How can Large Language Models be leveraged to augment humans' ability to perform strategic reasoning?