Sciweavers

ATAL
2015
Springer

Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration)

8 years 6 months ago
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration)
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. Categories and Subject Descriptors I.2.1 [Artificial Intelligence]: Applications and Expert Systems Keywords Teamwork; Single and multiagent learning; Social choice
Leandro Soriano Marcolino, Vaishnavh Nagarajan, Mi
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where ATAL
Authors Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe
Comments (0)