Generating dynamic formation strategies based on human experience and game conditions

John Atkinson, Dario Rojas

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


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.

Idioma originalInglés
Título de la publicación alojadaRoboCup 2007
Subtítulo de la publicación alojadaRobot Soccer World Cup XI
Número de páginas12
EstadoPublicada - 2008
Publicado de forma externa
Evento11th RoboCup International Symposium, RoboCup 2007 - Atlanta, GA, Estados Unidos
Duración: 9 jul. 200710 jul. 2007

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5001 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia11th RoboCup International Symposium, RoboCup 2007
País/TerritorioEstados Unidos
CiudadAtlanta, GA


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