Every team deserves a second chance:An Interactive 9x9 Go Experience (Demonstration)

Nagarajan, Vaishnavh and Soriano Marcolino, Leandro and Tambe, Milind (2015) Every team deserves a second chance:An Interactive 9x9 Go Experience (Demonstration). In: AAMAS '15 Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, pp. 1909-1910. ISBN 9781450334136

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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.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
81465
Deposited By:
Deposited On:
19 Sep 2016 12:16
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Apr 2020 00:40