优化足球比赛战术
Optimising Game Tactics for Football
摘要：
在本文中，我们提出了一种新的方法来优化足球（足球）的战术和战略决策。我们将足球比赛建模为一个多阶段的游戏，它是由贝叶斯游戏来模拟赛前的决定和随机游戏来模拟比赛中的状态转换和决定。使用这个公式，我们提出了一种方法来预测游戏结果的概率和团队行动的收益。在此基础上，我们开发算法，以优化团队形成和游戏中的战术与不同的目标。我们的方法对来自760场比赛的真实世界数据集的实证评估表明，通过使用贝叶斯和随机游戏的优化策略，我们可以分别将球队获胜的机会提高16.1%和3.4%。
英文摘要：
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer). We model the game of football as a multi-stage game which is made up from a Bayesian game to model the pre-match decisions and a stochastic game to model the in-match state transitions and decisions. Using this formulation, we propose a method to predict the probability of game outcomes and the payoffs of team actions. Building upon this, we develop algorithms to optimise team formation and in-game tactics with different objectives. Empirical evaluation of our approach on real-world datasets from 760 matches shows that by using optimised tactics from our Bayesian and stochastic games, we can increase a team chances of winning by up to 16.1\% and 3.4\% respectively.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
