Accepted author manuscript, 165 KB, PDF document
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Bang: a system for training and visualization in multi-agent team formation
AU - Antunes Silva, Saulo
AU - Renato Dias, Sandro
AU - Soriano Marcolino, Leandro
PY - 2017/5/8
Y1 - 2017/5/8
N2 - 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 expectedperformance 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.
AB - 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 expectedperformance 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.
M3 - Conference contribution/Paper
SP - 1781
EP - 1783
BT - AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems São Paulo, Brazil — May 08 - 12, 2017
PB - International Foundation for Autonomous Agents and Multiagent Systems
CY - Richland, SC
ER -