AI-Driven Mechanism Design

Inbunden, Engelska, 2024

Av Weiran Shen, Pingzhong Tang, Song Zuo

2 999 kr

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For example, it can reduce the mechanism space significantly, build more realistic buyer models, and better balance different objectives.The book focuses on several aspects of mechanism design and demonstrates that the framework is useful in both theoretical analysis and practical applications.

Produktinformation

Utgivningsdatum2024-12-03
Mått155 x 235 x 14 mm
Vikt381 g
FormatInbunden
SpråkEngelska
SerieArtificial Intelligence: Foundations, Theory, and Algorithms
Antal sidor130
FörlagSpringer Verlag, Singapore
ISBN9789819792856

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Weiran Shen is an assistant professor at Gaoling School of Artificial Intelligence, Renmin University of China. His research interests lie mainly at the interface of computer science and economics, including but not limited to multi-agent systems, game theory, mechanism design, and the connection between these domains and AI techniques. His research in mechanism design has already been implemented by online advertising platforms, such as Baidu and ByteDance.Pingzhong Tang is an associate professor at IIIS, Tsinghua University. His current research focuses on the interdisciplinary topics relating to AI, multiagent systems, and economics. He works on both theoretical and applied problems. Examples of his past work include simple and optimal auctions, dynamic ad auctions (published in Econometrica and used in Google ads), and water rights market design (used in Gansu province, China), as well as reinforcement mechanism design (used in Baidu advertising and Taobao search).Song Zuo is a senior research scientist at Google Research. His primary research interests are in the area of auction and dynamic mechanism design for internet advertising and general real-world applications. He was awarded the 2017 Google PhD Fellowship for his research.