@inproceedings{46c6a94f3dda4777a4e2361730e94e2c,
title = "Generating dynamic formation strategies based on human experience and game conditions",
abstract = "In this paper, a new approach to automatically generating game strategies based on the game conditions is presented. A game policy is defined and applied by a human coach who establishes the attitude of the team for defending or attacking. A simple neural net model is applied using current and previous game experience to classify the game's parameters so that the new game conditions can be determined so that a robotic team can modify its strategy on the fly. Results of the implemented model for a robotic soccer team are discussed.",
keywords = "Multi-agent systems, Robotics game strategies, Team formation",
author = "John Atkinson and Dario Rojas",
note = "Funding Information: This research is partially sponsored by the National Council for Scientific and Technological Research (FONDECYT, Chile) under grant number 1070714 “An Interactive Natural-Language Dialogue Model for Intelligent Filtering based on Patterns Discovered from Text Documents”.; 11th RoboCup International Symposium, RoboCup 2007 ; Conference date: 09-07-2007 Through 10-07-2007",
year = "2008",
doi = "10.1007/978-3-540-68847-1_14",
language = "English",
isbn = "3540688463",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "159--170",
booktitle = "RoboCup 2007",
}