[Sserver-three-d] Urgent: AI Magazine Overview Report on RoboCup 2008

[Thomas G. <tg...@uo...>]

Dear team leaders of 2D/3D simulation league teams,

would you like to have your most recent fancy machine learning 
approaches, that you applied in the context of your 2D/3D team, 
mentioned in the AI Magazine? If so, read on.

We are currently in the process of compiling a section on

"Machine Learning Approaches in the Simulation League of RoboCup 2008"

which will be part of a general overview article about this year's 
RoboCup championships in Suzhou. For this overview to be sufficiently 
broad and general, we are asking you to fill out and return the small 
email questionare attached below. Given your feedback and your 
references to publications, we are going to categorize the ML and AI 
approaches taken by different teams, highlighting certain 
characteristics, strengths, and, particularly, how learning methods 
fruitfully enhanced a team's playing capabilities.

Since the deadline for finishing the mentioned article is very near, we 
ask you to fill out and return the email questionare below by Tuesday 
(October, 14th, 2008).

Best greetings,
Thomas
(Brainstormers 2D).

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QUESTIONARE ON THE USE OF MACHINE LEARNING APPROACHES IN THE CONTEXT
OF ROBOTIC SOCCER SIMULATION 2D/3D

1. TEAM NAME:

2. If at all, for which parts or components of your team did you try out 
the use of machine learning approaches?

3. What learning methods and algorithms did you employ?

4. Which of the learning approaches you mentioned brought about learning 
results that were of such high quality that you, finally, applied them 
during the RoboCup 2008 tournament?

5. Please name the most prominent and successful learning approach 
mentioned under question 4 and briefly characterize it.

6. What types of other sophisticated AI-related methods have you 
employed during developing your team?

7. Please name the 1-2 most noteworthy references to publications of 
your team that, in particular, provide more details on the usage of 
machine learning methods by your team. Please provide (a) a Bibtex item 
and (b) a URL to easily retrieve the document(s).

Thank you very much!

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-- 
Thomas Gabel               Phone: +49 541 969 3357
University of Osnabrueck   Fax  : +49 541 969 2246
|-> Neuroinformatics Group www.ni.uos.de
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