twenty lectures on algorithmic game theory

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Twenty Lectures On Algorithmic Game Theory

Author : Tim Roughgarden
ISBN : 9781107172661
Genre : Business & Economics
File Size : 27. 70 MB
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Computer 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.

Game Theory For Security And Risk Management

Author : Stefan Rass
ISBN : 9783319752686
Genre : Mathematics
File Size : 37. 24 MB
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The chapters in this volume explore how various methods from game theory can be utilized to optimize security and risk-management strategies. Emphasizing the importance of connecting theory and practice, they detail the steps involved in selecting, adapting, and analyzing game-theoretic models in security engineering and provide case studies of successful implementations in different application domains. Practitioners who are not experts in game theory and are uncertain about incorporating it into their work will benefit from this resource, as well as researchers in applied mathematics and computer science interested in current developments and future directions. The first part of the book presents the theoretical basics, covering various different game-theoretic models related to and suitable for security engineering. The second part then shows how these models are adopted, implemented, and analyzed. Surveillance systems, interconnected networks, and power grids are among the different application areas discussed. Finally, in the third part, case studies from business and industry of successful applications of game-theoretic models are presented, and the range of applications discussed is expanded to include such areas as cloud computing, Internet of Things, and water utility networks.

German Open

Author : Gerard Hadders
ISBN : UOM:39015050270621
Genre : Art
File Size : 46. 78 MB
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In the last two years the German art scene has experienced a tremendous growth unlike anything since the early 1980s -- owing to a revitalized Berlin and an ever-expanding cultural diversity. German Open captures this energy by giving an overview of more than 30 of the best young artists working in Germany today. The artists documented represent the entire spectrum of visual art, from installation to painting to video, and their work can no longer be viewed as a matter of scattered individual gestures, but must be examined in a group context. Among the artists included here are Franz Ackerman, Kai Althoff, Simone Bohm, Coisma von Bonin, Matti Braun, Olafur Eliasson, Stefan Hoderlein, Stefan Kern, Michel Majerus, Tobias Rehberger, Daniel Richter, Heidi Specker, Johannes Wohnseifer, and Joseph Zehrer.

Economics And Computation

Author : Jörg Rothe
ISBN : 9783662479049
Genre : Business & Economics
File Size : 79. 83 MB
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This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.

Integer Programming And Combinatorial Optimization

Author : Matteo Fischetti
ISBN : 9783540727927
Genre : Computers
File Size : 52. 2 MB
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This book constitutes the refereed proceedings of the 12th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2007, held in Ithaca, NY, USA, in June 2007. Among the topics addressed in the 36 revised full papers are approximation algorithms, algorithmic game theory, computational biology, integer programming, polyhedral combinatorics, scheduling theory and scheduling algorithms, as well as semidefinite programs.

Twenty Sixth Annual Acm Symposium On Principles Of Distributed Computing

Author : ACM Special Interest Group for Algorithms and Computation Theory
ISBN : 1595936165
Genre : Electronic data processing
File Size : 23. 13 MB
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Proceedings Of The Twenty Second Aaai Conference On Artificial Intelligence

Author : Association for the Advancement of Artificial Intelligence
ISBN : 1577353234
Genre : Computers
File Size : 23. 14 MB
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Algorithmic Learning Theory

Author : Michael M. Richter
ISBN : 9783540497301
Genre : Computers
File Size : 45. 15 MB
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This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.

Mathematical Reviews

Author :
ISBN : UOM:39015067193329
Genre : Mathematics
File Size : 90. 64 MB
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Twenty Fifth Annual Acm Symposium On Principles Of Distributed Computing

Author :
ISBN : UCSD:31822034960948
Genre : Computer science
File Size : 70. 69 MB
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