Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3255
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Título : Retrieving and Reusing Game Plays for Robot Soccer
Autor : Ros, Raquel, Veloso, Manuela, Lopez de Mantaras, Ramon, Sierra, Carles, Arcos, Josep Ll.
Palabras clave : Artificial Intelligence
CBR
Case-Based Reasoning
Robot Soccer
Fecha de publicación : 2006
Editor: Springer
Resumen: The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot’s action selection in the robot soccer domain using Case-Based Reasoning techniques. A case represents a snapshot of the game at time t and the actions the robot should perform in that situation. We basically focus our work on the retrieval and reuse steps of the system, presenting the similarity functions and a planning process to adapt the current problem to a case. We present first results of the performance of the system under simulation and the analysis of the parameters used in the approach.
Descripción : Best Paper Award The original publication is available at http://www.springerlink.com
URI : http://hdl.handle.net/10261/3255
ISBN : 978-3-540-36843-4
ISSN: 0302-9743
DOI: 10.1007/11805816_6
Citación : Advances in Case-Based Reasoning, 8th European Conference, ECCBR 2006 Fethiye, Turkey, September 4-7, 2006 Proceedings. Lecture Notes in Artificial Intelligence. Vol. 4106, p.p.: 47-61, Springer Berlin / Heidelberg, 2006.
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