Cart (Loading....) | Create Account
Close category search window

Generation of Offensive Strategies in Robot Soccer Game

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jie Wu ; Dept. of Comput. Sci. FEECS, VSB Tech. Univ. of Ostrava, Ostrava, Czech Republic ; Svaton, V. ; Martinovic, J. ; Ochodkova, E.
more authors

The robot soccer game is full of challenges in the field of robot and artificial intelligence. Strategy is a kernel subsystem of robot soccer game. In this paper, a method to generate offensive strategies based on simulated game is presented. The experiments show that states obtained during the simulated game are suited for new strategies generation and strategies optimization.

Published in:

Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on

Date of Conference:

Nov. 30 2011-Dec. 2 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.