Team Playing Behavior in Robot Soccer: A Case-Based Reasoning Approach

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 14 Aug 2007 English Publisher:Springer Berlin Heidelberg

Authors: Raquel Ros; Ramón López de Mántaras; Josep Lluís Arcos; Manuela M. Veloso;

doi: 10.1007/978-3-540-74141-1_4

handle: 10261/3258

Team Playing Behavior in Robot Soccer: A Case-Based Reasoning Approach

- Summary
- Subjects
- Metrics

Abstract

This paper presents extensions and improvements of previous work, where we defined a CBR system for action selection in the robot soccer domain. We show empirical results obtained with real robots, comparing our team playing approach with an individualist approach.

Partial funding by the Spanish Ministry of Education and Science project MID-CBR (TIN2006-15140-C03-01) and partly sponsored by BBNT Solutions, LLC under contract no. FA8760-04-C-0002. Raquel Ros holds a scholarship from the Generalitat de Catalunya Government.

The original publication is available at http//:www.springerlink.com

Peer reviewed

Related Organizations

Carnegie Mellon University
United States
Spanish National Research Council
Spain

Keywords

Artificial intelligence, Robot Soccer, Case-based reasoning, Robot soccer, CBR

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%