The rich, multi-faceted and multi-disciplinary field of matching-based market design is an active and important one due to its highly successful applications with economic and sociological impact. Its home is economics, but with intimate connections to algorithm design and operations research. With chapters contributed by over fifty top researchers from all three disciplines, this volume is unique in its breadth and depth, while still being a cohesive and unified picture of the field, suitable for the uninitiated as well as the expert. It explains the dominant ideas from computer science and economics underlying the most important results on market design and introduces the main algorithmic questions and combinatorial structures. Methodologies and applications from both the pre-Internet and post-Internet eras are covered in detail. Key chapters discuss the basic notions of efficiency, fairness and incentives, and the way market design seeks solutions guided by normative criteria borrowed from social choice theory.
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Federico Echenique is a professor of economics at the California Institute of Technology. He has published articles in the American Economic Review, Econometrica, Journal of Political Economy, Games and Economic Behavior, Journal of Economic Theory, and Theoretical Economics. He is an associate editor of the Journal of Economic Theory, Economic Journal, Economic Theory, and ACM Transactions on Economics and Computation.
Nicole Immorlica is a Principal Researcher at the Microsoft Research New England Lab. She has published more than eighty scholarly articles, surveys and book chapters on topics including algorithmic game theory, market design, social networks, theoretical computer science and economics. Her honors include being recognized with the Harvard Excellence in Teaching Award, a Sloan Fellowship and an NSF Career Award. Immorlica is Chair of SIGecom, former Vice Chair of SIGACT, Associate Editor of ACM Transactions on Economics and Computing, and was Program Co-chair for EC 2019.
Vijay V. Vazirani is Distinguished Professor in the Computer Science Department and Director of the Algorithms, Combinatorics and Optimization Center at the University of California, Irvine. He was named a Fellow of the Association for Computing Machinery in 2005. His previous books include Approximation Algorithms and Algorithmic Game Theory.
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Hardback. Federico Echenique (University of California, Berkeley), Cambridge University Press. The rich, multi-faceted and multi-disciplinary field of matching-based market design is an active and important one due to its highly successful applications with economic and sociological impact. Its home is economics, but with intimate connections to algorithm design and operations research. With chapters contributed by over fifty top researchers from all three disciplines, this volume is unique in its breadth and depth, while still being a cohesive and unified picture of the field, suitable for the uninitiated as well as the expert. It explains the dominant ideas from computer science and economics underlying the most important results on market design and introduces the main algorithmic questions and combinatorial structures. Methodologies and applications from both the pre-Internet and post-Internet eras are covered in detail. Key chapters discuss the basic notions of efficiency, fairness and incentives, and the way market design seeks solutions guided by normative criteria borrowed from social choice theory. Hardback. N° de réf. du vendeur 9781108831994
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