4 edition of Lectures in game theory for computer scientists found in the catalog.
Includes bibliographical references and index.
|Statement||edited by Krzysztof R. Apt and Erich Grädel|
|LC Classifications||QA269 .L43 2011|
|The Physical Object|
|Pagination||xii, 295 p. :|
|Number of Pages||295|
|LC Control Number||2011499849|
Incentives in Computer Science (CSI, fall ) Lecture 1: The Draw and College Admissions Algorithmic Game Theory (CSA, fall ) The book Twenty Lectures on Algorithmic Game Theory, Cambridge University Press () Lecture 1: Introduction and Examples;. originated in the computer science literature, but should be of interest to the game theory community: computing the price of anarchy, that is, the cost of using decentralizing solution to a problem. In Sec-tion 4 I consider interactions between distributed computing and game theory. I conclude in Section 6 with a discussion of a few other.
I am no math whiz but was curious about Game Theory as well. If you are looking for something totally general and have heard of Game Theory but don't entirely grasp even what it even is, I would watch the scene in "A Beautiful Mind" where Nash d. Abstract. There has been a remarkable increase in work at the interface of computer science and game theory in the past decade. Game theory forms a significant component of some major computer science conferences (see, for example, Kearns and Reiter, ; Sandholm and Yokoo, ); leading computer scientists are often invited to speak at major game theory conferences, such as the World Author: Steven N. Durlauf, Lawrence E. Blume.
The course is geared towards engineering, operations research, or computer science students who need to use game theory in their research. The course is also aimed at covering recent advances and open research areas in game theory. Prerequisites. A course in probability ( or equivalent) and mathematical maturity. This book constitutes the refereed proceedings of the 4th International Conference on Decision and Game Theory for Security, GameSec , held in Fort Worth, TX, USA, in November The 15 revised full papers presented were carefully reviewed and selected from numerous : Tapa blanda.
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This collection of lectures, by specialists in the field, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program design, synthesis, verification, testing and design of multi-agent or distributed systems.3/5(1).
Game Theory for Data Science: Eliciting Truthful Information (Synthesis Lectures on Artificial Intelligence and Machine Le) Paperback. – Septem by Boi Faltings (Author), Goran Radanovic (Author), Ronald Brachman (Editor) & 0 more.
See all 2 formats and editions. Hide other formats and editions. : Boi Faltings. Lectures in Game Theory for Computer Scientists Krzysztof R.
Apt, Erich Grädel Games provide mathematical models for interaction. Numerous tasks in computer science can be formulated in game-theoretic terms. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App.
Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Apple. Android. Windows Phone. Android. To 4/5(2). This collection of lectures, by specialists in the field, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program.
This collection of lectures, by specialists in the eld, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program design, synthesis, verication, testing and design of multi-agent or distributed systems.5/5(1).
game theory for researchers in several ﬁelds, including artiﬁcial intelligence, networking, and algorithms.” —Vijay Vazirani, Georgia Institute of Technology, Computer Science “The authors admirably achieve their aim of providing a scientist or engineer with the essentials of game theory in a text that is rigorous, readable and File Size: 1MB.
Algorithmic Game Theory Over the last few years, there has been explosive growth in the research done at the in-terface of computer science, game theory, and economic theory, largely motivated by the emergence of the Internet.
Algorithmic Game Theory develops the central ideas and results of this new and exciting area. Mathematics for Computer Science Eric Lehman and Tom Leighton Combinatorial game theory plays a role in logic and computer science as in, for example, the Ehrenfeucht-fraïssé game, which is a logic game played on model-theoretic structures.
At each turn, the first player chooses an element from one of the two structures, and the second has to chose an element from the other, trying to maintain a local.
Game theory is important to computer science for several reasons: First, interaction is a fundamental topic in computer science, and if it is assumed that system components are self-interested, then the models and solution concepts of game theory seems to provide an appropriate framework with which to model such systems.
This book opens with a traditional account of game theory (which is obtainable from innumerable other books) but then considers (with the exception of two more chapters) the disjoint Computer-Science-idea of a game. So this is a book about two different topics that somehow fail to be distinguished.3/5.
The book which, in my opinion, is so much waiting to be written is a book that will criticise game theory. Not from a sociological point of view, not a personality analysis of people like Aumann or Shapley or Schelling or whoever, but a purely intellectual analysis.
Lectures in game theory for computer scientists. [Krzysztof R Apt; Erich Grädel;] -- An introduction to various aspects of game theory relevant for many applications in computer science. Lectures range from tutorials concerning fundamental notions and methods to more advanced.
With numerous exercises, and the addition of a solution manual with this edition, the book is an extensive guide to game theory for undergraduate through graduate courses in economics, mathematics, computer science, engineering and life sciences, and will also serve as useful reference for researchers.
The basis for this book is a number of lectures given frequently by the author to third year students of the Department of Economics at Leningrad State University who specialize in economical cybernetics.
The main purpose of this book is to provide the student with a relatively simple and. This collection of Lectures, by specialists in the field, provides an excellent introduction to various aspects of game theory relevant for applications in computer science that concern program design, synthesis, verification, testing and design of multi-agent or distributed systems.
Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE.
Lectures in Game Theory for Computer Scientists. Leiden: Cambridge University Press, © Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Krzysztof R Apt; Erich Grädel.
Decision and Game Theory for Security: 7th International Conference, GameSecNew York, NY, USA, November, Proceedings (Lecture Notes in Computer Science Book ) - Kindle edition by Zhu, Quanyan, Alpcan, Tansu, Panaousis, Emmanouil, Tambe, Milind, Casey, William.
Download it once and read it on your Kindle device, PC, phones or : $. Lectures in game theory for computer scientists. Cambridge: Cambridge University Press, © (OCoLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Krzysztof R Apt; Erich Grädel.Taking your own notes is advisable.
Some of the material presented in the lecture can be found in the following books: [ROU] Twenty Lectures on Algorithmic Game Theory, Tim Roughgarden, Cambridge University Press, (The book is available in the computer science library - .This course is an introduction to game theory and strategic thinking.
Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.