Every team deserves a second chance: An interactive 9x9 Go experience (demonstration)

Date Issued
01-01-2015
Author(s)
Marcolino, Leandro Soriano
Nagarajan, Vaishnavh
Tambe, Milind
Abstract
We show that without using any domain knowledge, we can predict the final performance of a team of voting agents, at any step towards solving a complex problem. This demo allows users to interact with our system, and observe its predictions, while playing 9x9 Go.
Volume
3
Subjects