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计算机工程 ›› 2010, Vol. 36 ›› Issue (20): 191-193. doi: 10.3969/j.issn.1000-3428.2010.20.067

• 人工智能及识别技术 • 上一篇    下一篇

基于预测模型的最佳进攻球员和进攻点选择

董文杰,史豪斌,李伟华   

  1. (西北工业大学计算机学院,西安 710072)
  • 出版日期:2010-10-20 发布日期:2010-10-18
  • 作者简介:董文杰(1986-),男,硕士研究生,主研方向:多媒体智能辅助决策;史豪斌,讲师;李伟华,教授、博士生导师
  • 基金资助:
    航空科技创新基金资助项目(08E53003);国家部委基金资助项目;国家大学生创新性实验计划基金资助项目

Selection of Best Offensive Player and Offensive Point Based on Prediction Model

DONG Wen-jie, SHI Hao-bin, LI Wei-hua   

  1. (College of Computer, Northwestern Polytechnical University, Xi’an 710072, China)
  • Online:2010-10-20 Published:2010-10-18

摘要: 以FIRA SimuroSot5v5仿真平台为背景,针对策略中如何最大化进攻威胁的问题,提出一种基于预测模型的最佳进攻球员和进攻点选择方法。对机器人和球的运动规律进行建模,根据建立的预测模型确定机器人的有效进攻时间,计算可进攻球员和可进攻点,并对每个可进攻球员及进攻点进行进攻威胁度评估,得到最佳进攻球员和最佳进攻点。仿真实验验证了该方法的有效性。

关键词: 预测模型, 有效进攻时间, 进攻威胁度, 最佳进攻球员, 最佳进攻点

Abstract: This paper makes FIRA SimuroSot 5v5 game simulation platform as the background, for the problem that how to maximize the threat of attack in strategy, proposes a selection method of the best offensive player and offensive point based on prediction models. It builds the robots and the ball motion models, according to the established prediction models to determine the effective attack time, which can calculate the offensive players and offensive points. It carries out a detailed threat of attack-degree evaluation to each offensive player and offensive point and selects the best offensive player and the best offensive point. Simulation tests verify the validity of the method.

Key words: prediction model, effective attack time, threat of attack-degree, best offensive player, best offensive point

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