Alan Tsang
Associate Professor
Interests
I conduct research in Multiagent Systems, a field of Artificial Intelligence that models and analyzes complex interactions between rational agents. In particular, I study computational social choice, leveraging tools and techniques from computer science to examine social choice problems such as voting and fair division. My primary interest is in strategic voting behavior in social networks, and I am very interested in interdisciplinary collaboration with domain researchers. My research techniques draw from economic game theory and agent based simulations.
I do not do research in machine learning or in LLMs.
If you are an undergraduate student, you may also want to consider doing an honors project or honors thesis.Some Standard Texts
Networks,
Crowds, and Markets (David Easley, Jon Kleinberg) - A
excellent text on graph theory and its applications
Multiagent Systems
(Yoav Shoham, Kevin Leyton-Brown) - Lays the foundations on
multiagent systems, one might say the algorithmic,
game-theoretic and logical foundations
Fundamentals
of Multiagent Systems (Jose M. Vidal) - Also an
excellent text on MAS
Other Useful Resources
How
to read papers by my former professor Keshav
How to
write papers, an 8-week Coursera course
A fun app about the evolution
of cooperation, from an evolutionary game theory
perspective
An app that explores our (at times strange) preferences about the
ethics of self-driving cars