AI Strategies in Games and Science

This chapter explores the complexities of programming AI for strategic games like chess and Go, highlighting advancements through reinforcement learning exemplified by AlphaGo's success. It discusses the limitations of algorithms in deep analysis and the computational challenges faced in decision-making due to the vast number of possible moves. Additionally, the chapter emphasizes the role of AI in solving complex problems such as protein folding, illustrating its impact on scientific research and philosophical questions of consciousness.