Cantitate/Preț
Produs

AI-Driven Mechanism Design: Artificial Intelligence: Foundations, Theory, and Algorithms

Autor Weiran Shen, Pingzhong Tang, Song Zuo
en Limba Engleză Hardback – 3 dec 2024
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.
Citește tot Restrânge

Din seria Artificial Intelligence: Foundations, Theory, and Algorithms

Preț: 117234 lei

Preț vechi: 154254 lei
-24%

Puncte Express: 1759

Carte tipărită la comandă

Livrare economică 28 noiembrie-04 decembrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9789819792856
ISBN-10: 9819792851
Pagini: 140
Dimensiuni: 160 x 241 x 14 mm
Greutate: 0.33 kg
Editura: Springer
Colecția Artificial Intelligence: Foundations, Theory, and Algorithms
Seria Artificial Intelligence: Foundations, Theory, and Algorithms


Notă biografică

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.