Application Analysis of Intelligent Gaming in the Context of Go

Abstract

The swift evolution of Artificial Intelligence (AI) technology has ignited fervent discussions, particularly regarding its integration into the strategic game of Go. A landmark event was the unveiling of AlphaGo in 2017, an AI entity that swiftly ascended to an unassailable position against the world’s top human Go players. This scholarly exploration delves into the intricate application of AI in the realm of Go, meticulously analyzing the trajectory of AI model development. Through a comparative examination of various models, the paper meticulously identifies both the shared attributes and the unique distinctions that define each AI system. The paper underscores the indispensable influence of deep learning and reinforcement learning methodologies in propelling AI advancements. Furthermore, the paper deliberates on the iterative enhancements made to the underlying algorithms, which have been instrumental in elevating AI’s prowess in Go. In conclusion, the paper also thoughtfully addresses the emerging challenges that AI presents to the Go community, with a particular emphasis on the implications for human players. The paper concludes with a set of prescriptive recommendations aimed at fostering the continued ethical and beneficial advancement of AI technology within the Go domain.