Name
Abstract | ||
|---|---|---|
In this article the SBC++ simulator team and its overall design and scientific goals are described. Our main goal in this
project is to achieve new methods of machine learning and deciding; also multi-agent behaviors such as strategy setting and
cooperative learning with insistence on behavior networks. To achieve this, SBC++ uses MASM[1] model, designed by Maes, as
its fundamental base. Our team uses the CMUnited-99[4] low level code with little modification. Major modification and improvements
are in the high level code.
|
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-45324-5_45 | RoboCup |
Keywords | Field | DocType |
simulator team,cooperative learning,machine learning | Computer science,Simulation,Team sport,Artificial intelligence,Cooperative learning | Conference |
ISBN | Citations | PageRank |
3-540-42185-8 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amin Abbaspour | 1 | 7 | 0.95 |
| Mahmood Rahmani | 2 | 36 | 4.01 |
| Bahman Radjabalipour | 3 | 0 | 0.68 |
| Eslam Nazemi | 4 | 21 | 11.43 |