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Description
  • The robot soccer game is full of challenges in the field of robot and artificial intelligence. Strategy is a kernel subsystem of robot soccer game. In this paper, a method to generate offensive strategies based on simulated game is presented. The experiments show that states obtained during the simulated game are suited for new strategies generation and strategies optimization.
  • The robot soccer game is full of challenges in the field of robot and artificial intelligence. Strategy is a kernel subsystem of robot soccer game. In this paper, a method to generate offensive strategies based on simulated game is presented. The experiments show that states obtained during the simulated game are suited for new strategies generation and strategies optimization. (en)
Title
  • Generation of offensive strategies in robot soccer game
  • Generation of offensive strategies in robot soccer game (en)
skos:prefLabel
  • Generation of offensive strategies in robot soccer game
  • Generation of offensive strategies in robot soccer game (en)
skos:notation
  • RIV/61989100:27240/11:86084984!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita
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  • I
http://linked.open...vai/riv/dodaniDat
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  • 200939
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  • RIV/61989100:27240/11:86084984
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  • Strategy; Robot soccer; Artificial intelligence (en)
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  • [37DCC68F6616]
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  • Fukuoka
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  • New York
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  • Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
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  • Abraham Padath, Ajith
  • Martinovič, Jan
  • Ochodková, Eliška
  • Wu, Jie
  • Svatoň, Václav
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number of pages
http://bibframe.org/vocab/doi
  • 10.1109/INCoS.2011.96
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  • IEEE
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  • 978-0-7695-4579-0
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  • 27240
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