(Enter summary)
Abstract: Multi-agent collaboration or teamwork and learning are two critical research challenges
in a large number of multi-agent applications. These research challenges are
highlighted in RoboCup, an international project focused on robotic and synthetic
soccer as a common testbed for research in multi-agent systems. This article describes
our approach to address these challenges, based on a team of soccer-playing agents built
for the simulation league of RoboCup --- the most popular of the RoboCup... (Update)
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BibTeX entry: (Update)
Tambe, M., Adibi, J., Alonaizon, Y., Erdem, A., Kaminka, G., Marsella, S. and Muslea, I. Building agent teams using an explicit teamwork model and learning. Artificial Intelligence (to appear), 1998. http://citeseer.ist.psu.edu/tambe98building.html More
@article{ tambe99building,
author = "Milind Tambe and Jafar Adibi and Y. Alonaizon and Ali Erdem and Gal A. Kaminka and Stacy Marsella and Ion Muslea",
title = "Building Agent Teams Using an Explicit Teamwork Model and Learning",
journal = "Artificial Intelligence",
volume = "110",
number = "2",
pages = "215-239",
year = "1999",
url = "citeseer.ist.psu.edu/tambe98building.html" }
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