Alan Tsang
Assistant 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.
If you are an undergraduate student, you may also want to
consider doing an honors project.
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