000 02244nam a22002057a 4500
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008 190831b ||||| |||| 00| 0 eng d
020 _a9781316624791
082 _a519.3
_bROU
100 _aRoughgarden, Tim
_9852
245 _aTwenty lectures on algorithmic game theory
260 _bCambridge University Press
_aCambridge
_c2016
300 _axiii, 341 p.
365 _aGBP
_b24.99
504 _aTable of Contents 1. Introduction and examples 2. Mechanism design basics 3. Myerson's Lemma 4. Algorithmic mechanism design 34 5. Revenue-maximizing auctions 6. Simple near-optimal auctions 7. Multi-parameter mechanism design 8. Spectrum auctions 9. Mechanism design with payment constraints 10. Kidney exchange and stable matching 11. Selfish routing and the price of anarchy 12. Network over-provisioning and atomic selfish routing 13. Equilibria: definitions, examples, and existence 14. Robust price-of-anarchy bounds in smooth games 15. Best-case and strong Nash equilibria 16. Best-response dynamics 17. No-regret dynamics 18. Swap regret and the Minimax theorem 19. Pure Nash equilibria and PLS-completeness 20. Mixed Nash equilibria and PPAD-completeness.
520 _aComputer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.
650 _aAlgorithms
_9653
650 _aGame theory
_9853
942 _2ddc
_cBK