00697nam0-2200253 --450 991080499800332120240222095406.020240222d1916----kmuy0itay5050 barusRUa 001yyNablyudeniya za raznymi vidamiN.A. NaumovPetrogradVrode1916216 p., VIII carte di tav.ill.26 cmOrganismi589.219itaNaumov,N.A.1592091ITUNINAREICATUNIMARCBK9910804998003321A PAT 20041475/2024FAGBCFAGBCNablyudeniya za raznymi vidami3907941UNINA03812nam 22007095 450 991091379410332120241203115306.09789819792863981979286X10.1007/978-981-97-9286-3(CKB)36812710000041(MiAaPQ)EBC31812223(Au-PeEL)EBL31812223(DE-He213)978-981-97-9286-3(EXLCZ)993681271000004120241203d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAI-Driven Mechanism Design /by Weiran Shen, Pingzhong Tang, Song Zuo1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (135 pages)Artificial Intelligence: Foundations, Theory, and Algorithms,2365-306X9789819792856 9819792851 Chapter 1. Introduction -- Chapter 2. Multi-Dimensional Mechanism Design via AI-Driven Approaches -- Chapter 3. Dynamic Mechanism Design via AI-Driven Approaches -- Chapter 4. Multi-Objective Mechanism Design via AI-Driven Approaches -- Chapter 5. Summary and Future Directions.Due to its huge success in industry, mechanism design has been one of the central research topics at the interface of economics and computer science. However, despite decades of effort, there are still numerous challenges, in terms of both theory and applications. These include the problem of how to design mechanisms for selling multiple items, dynamic auctions, and balancing multiple objectives, given the huge design space and buyer strategy space; and the fact that in practice, the most widely applied auction format (the generalized second price auction) is neither truthful nor optimal. Furthermore, many theoretical results are based upon unrealistic assumptions that do not hold in real applications. This book presents the AI-driven mechanism design framework, which aims to provide an alternative way of dealing with these problems. The framework features two abstract models that interact with each other: the agent model and the mechanism model. By combining AI techniques with mechanism design theory, it solves problems that cannot be solved using tools from either domain alone. 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.Artificial Intelligence: Foundations, Theory, and Algorithms,2365-306XComputational intelligenceElectronic commerceMultiagent systemsMachine learningGame theoryComputational Intelligencee-Commerce and e-BusinessMultiagent SystemsMachine LearningGame TheoryComputational intelligence.Electronic commerce.Multiagent systems.Machine learning.Game theory.Computational Intelligence.e-Commerce and e-Business.Multiagent Systems.Machine Learning.Game Theory.006.3Shen Weiran1777604Tang Pingzhong1777605Zuo Song1777606MiAaPQMiAaPQMiAaPQBOOK9910913794103321AI-Driven Mechanism Design4299212UNINA