Game Tactics and Strategy Optimization Through AI and Machine Learning
Shashank Mittal, Sushree S. Mohapatra, Preet Kanwal, Ta Huy Hung · Advances in computational intelligence and robotics book series · 2025
This chapter explores the transformative role of artificial intelligence (AI) and machine learning in optimizing game strategy within sports. By analyzing historical game data, AI enhances tactical decision-making, player development, and real-time adjustments during competitions. The integration of predictive analytics allows teams to anticipate future performance trends and adapt strategies accordingly, while AI-powered tools foster personalized training regimens and injury prevention. Furthermore, the collaboration between AI and human insight encourages a dynamic partnership that enriches coaching and gameplay. Despite its benefits, ethical considerations regarding data privacy, fairness, and competitive integrity must be addressed to ensure responsible AI use. As these technologies become more accessible, they will democratize strategy optimization, empowering teams at all levels. This chapter ultimately highlights the potential of AI to reshape the landscape of sports, driving innovation and improving overall performance.