Deterministic Game

Deterministic games, characterized by perfect information and predictable outcomes, are a central focus in artificial intelligence research, with the primary objective of developing algorithms that can optimally play these games. Current research emphasizes efficient search algorithms like beam search, offering alternatives to computationally intensive methods such as Monte Carlo Tree Search, and explores novel player rating systems that address limitations of traditional Elo ratings in capturing game complexities. These advancements contribute to a deeper understanding of game theory and provide improved strategies for game playing agents, with applications ranging from game development to the analysis of strategic interactions in various fields.