Yannakakis, Georgios N./Julian Togelius
Artificial Intelligence and Games

This book covers artificial intelligence methods applied to games, both in research and game development. The book covers a range of AI methods, from traditional search, planning, and optimization, to modern machine learning methods, including diffusion models and large language models. It discusses applications to playing games, generating content, and modeling players, including use cases such as level generation, game testing, intelligent non-player characters, player retention, player experience analysis, and game adaptation. It also covers the use of games, including video games, to test and benchmark AI algorithms. This second edition of the 2018 textbook captures significant developments in AI and gaming over the past 7 years, incorporating advancements in computer vision, reinforcement learning, deep learning, and the emergence of transformer-based large language models and generative AI. The book has been reorganized to provide an updated overview of AI in games, with separate sections dedicated to AI's core uses in playing and generating games, and modeling their players, along with a new chapter on ethical considerations. Second Edition. XXXIII,525 Seiten mit 122 meist farbigen Abb., gebunden (Springer Verlag 2025) leichte Lagerspuren/minor shelfwear