Bang: a system for training and visualization in multi-agent team formation

Antunes Silva, Saulo and Renato Dias, Sandro and Soriano Marcolino, Leandro (2017) Bang: a system for training and visualization in multi-agent team formation. In: AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems São Paulo, Brazil — May 08 - 12, 2017. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp. 1781-1783.

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Abstract

In this demo participants will explore Bang, a system for multiagent team formation. Bang automatically selects exercises for training agents, and allows an operator to visualize the expected performance of possible teams, guiding in the agent selection process. Bang is used in the context of programming competitions, a real-world challenge that involves human teams, and significantly improved the performance of the teams of CEFET-MG University.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
85520
Deposited By:
Deposited On:
15 Mar 2017 16:20
Refereed?:
Yes
Published?:
Published
Last Modified:
28 May 2020 23:48