An overview of neural networks in simulation soccer

William Plant*, Gerald Schaefer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

This paper reviews applications of neural networks (NNs) in the domain of 2-D simulation soccer. We divide these into the employment of NNs for the training of lowlevel and high-level skills as well as coaching clients involved with high-level strategies. We conclude that the use of NNs has yielded success in these areas, but their future use may be limited to building a foundation of skills which can be advanced through manual hardcoding.

Original languageEnglish
Title of host publication2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
PublisherIEEE
Pages1620-1625
Number of pages6
ISBN (Print)9781424456123
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, United Kingdom
Duration: 9 Dec 200911 Dec 2009

Conference

Conference2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
CountryUnited Kingdom
CityCoimbatore
Period9/12/0911/12/09

Keywords

  • Computational intelligence
  • Neural networks
  • RoboCup
  • Simulation soccer

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  • Cite this

    Plant, W., & Schaefer, G. (2009). An overview of neural networks in simulation soccer. In 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings (pp. 1620-1625). [5393661] IEEE. https://doi.org/10.1109/NABIC.2009.5393661