An overview of neural networks in simulation soccer

William Plant; Gerald Schaefer

doi:10.1109/NABIC.2009.5393661

An overview of neural networks in simulation soccer

William Plant^*
, Gerald Schaefer

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

1 Citation (Scopus)

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 language	English
Title of host publication	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
Publisher	IEEE
Pages	1620-1625
Number of pages	6
ISBN (Print)	9781424456123
DOIs	https://doi.org/10.1109/NABIC.2009.5393661
Publication status	Published - 1 Dec 2009
Event	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, United Kingdom Duration: 9 Dec 2009 → 11 Dec 2009

Conference

Conference	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
Country/Territory	United Kingdom
City	Coimbatore
Period	9/12/09 → 11/12/09

Keywords

Computational intelligence
Neural networks
RoboCup
Simulation soccer

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10.1109/NABIC.2009.5393661

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title = "An overview of neural networks in simulation soccer",

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.",

keywords = "Computational intelligence, Neural networks, RoboCup, Simulation soccer",

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AB - 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.

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KW - Neural networks

KW - RoboCup

KW - Simulation soccer

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ER -

An overview of neural networks in simulation soccer

Abstract

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