Abstract | ||
---|---|---|
Multi-agent collaboration or teamwork and learning are two critical research challengesin a large number of multi-agent applications. These research challenges arehighlighted in RoboCup, an international project focused on robotic and syntheticsoccer as a common testbed for research in multi-agent systems. This article describesour approach to address these challenges, based on a team of soccer-playing agents builtfor the simulation league of RoboCup --- the most popular of the RoboCup... |
Year | DOI | Venue |
---|---|---|
1999 | 10.1016/S0004-3702(99)00022-3 | Artificial Intelligence - Special issue on Robocop: the first step |
Keywords | Field | DocType |
explicit teamwork model,building agent team,teamwork,multi agent system | Teamwork,Tournament,League,Knowledge management,Testbed,Hierarchy,Mathematics,Building agent | Journal |
Volume | Issue | ISSN |
110 | 2 | 0004-3702 |
Citations | PageRank | References |
34 | 2.79 | 16 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Milind Tambe | 1 | 6008 | 522.25 |
Jafar Adibi | 2 | 322 | 39.46 |
Yaser Al-Onaizan | 3 | 540 | 38.51 |
Ali Erdem | 4 | 121 | 14.07 |
Gal A. Kaminka | 5 | 1631 | 158.78 |
Stacy Marsella | 6 | 3290 | 297.09 |
Ion Muslea | 7 | 1344 | 121.66 |