Intelligent Algorithms for Gaming AI: Research Into Decision-Making Methods and Agent Behavior
Anastasia R. Popova, Gleb O. Bondarenko, Alyona S. Syryh, Vladislav S. Pavluk, Evgenii I. Geichenko, Viacheslav D. Burlaka · 2024
This article delves into the exploration of the vector method of orientation within the scope of artificial intelligence (AI) systems. The vector approach, which forms the foundation of numerous contemporary algorithms, offers significant advantages in terms of accuracy and efficiency when tackling problems related to direction and distance determination. The primary objective of the paper is to thoroughly examine the fundamental principles and algorithms that employ vector methods, while also investigating their practical applications in diverse fields, including navigation, robotics, and autonomous systems. By providing a comprehensive analysis, the article aims to uncover the potential of vector-based methods in enhancing the performance and capabilities of AI systems. Additionally, the discussion will be enriched by practical examples and scenarios illustrating how these methods can be effectively utilized in real-world situations, thereby highlighting their relevance and versatility across various domains. Special attention will be given to potential future advancements and challenges in this area.