Statistical Analysis of Soccer:
Demonstrating the Progress of RoboCup Research
Kumiko Tanaka-Ishii, Ian Frank, Itsuki Noda, Hitoshi Matsubara
Third International Workshop on RoboCup, Stockholm,
Sweden. Proceedings to be published by Springer-Verlag, Lecture Notes in
Computer Science - Artificial Intelligence series.
Abstract:
This paper uses statistical analysis to demonstrate the progress to
date in answering the RoboCup Synthetic Agent Challenge.
We analyze the complete set of log data produced by the simulator
tournaments of 1997 and 1998, applying techniques such as principal
component analysis to identify precisely what has improved, and what
requires further work.
Since the code that implements our analysis produces its results in
real-time, we propose releasing a proxy server that makes
statistical analysis available to RoboCup developers.
We believe such a server has a crucial role to play in facilitating
and evaluating research on the three specific challenge problems of
opponent modeling, teamwork and learning.
We also suggest that --- if RoboCup is to make the most of the
efforts of participating researchers --- the time is ripe for the
institution of a modular team based on a common model.
|