Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations 1st Edition

by Yoav Shoham (Author), Kevin Leyton-Brown (Author)

24 ratings

ISBN-13: 978-0521899437

ISBN-10: 0521899435

Why is ISBN important?

Share <Embed>

Other Sellers

from

Other Sellers

See all 6 versions

Used: Very Good | Details

Sold by amaranthbooks

Access codes and supplements are not guaranteed with used items.

$5.12 delivery March 25 - 30. Details

In Stock.

Ships from and sold by Amazon.com.

Available at a lower price from other sellers that may not offer free Prime shipping.

List Price: $68.99 Details

Save: $12.91 (19%)

FREE delivery Sunday, March 27

Or fastest delivery Thursday, March 24. Order within 8 hrs 23 mins

Available at a lower price from other sellers that may not offer free Prime shipping.

This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multiagent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming. Written by two of the leading researchers of this engaging field, this book will surely serve as THE reference for researchers in the fastest-growing area of computer science, and be used as a text for advanced undergraduate or graduate courses.

Noam Nisan
19
Hardcover
30 offers from $37.30
Tim Roughgarden
21
Paperback
19 offers from $31.19
Kevin Leyton-Brown
30
Paperback
20 offers from $21.38
Richard S. Sutton
363
Hardcover
61 offers from $55.80
Martin J. Osborne
45
Paperback
33 offers from $18.93
Tor Lattimore
14
Hardcover
20 offers from $45.93

Editorial Reviews

Review

"This is by far the best text in the field of multiagent systems, one of the fastest-growing areas in computer science."
Stuart Russell, University of California at Berkeley

"The integration of methodologies that study different aspects of interactive strategic systems is of vital importance in modern society. Through excellent side-by-side presentation of the main approaches in computer science, game theory and economics, this pioneering textbook is a major advance towards the education of a better-equipped generation of computer scientists as well as social scientists."
Ehud Kalai, Northwestern University

"This is a rich and comprehensive text on multiagent systems, written by two of the leading researchers in the area in an engaging and accessible style. It is unique in covering the diverse foundations of multiagent systems, including logic. Its extensive treatment of the interplay between computer science and game theory will define how the subject should be taught. I recommend the book for graduate students and advanced undergraduates, as well as researchers in both computer science and economics trying to learn the basics of the field."
Joseph Halpern, Cornell University

"With the emergence of the Internet, the focus of much of the research in computer science and in artificial intelligence is shifting from the the study of the single program to the study of the interactions among different computers and programs. Multiagent Systems presents for the first time this cutting-edge research in a textbook form. The book transcends the traditional boundaries of artificial intelligence and touches all aspects of multiagent systems: from artificial intelligence to algorithms to game theory, to logic, and beyond. Written by leaders in this research area, this book is certain to become the textbook of choice for classes on multiagent systems."
Noam Nisan, Hebrew University

"Shoham and Leyton-Brown traverse several disciplines to bring together the most salient and useful technical principles for understanding multiagent systems. This text is the first to provide computer scientists with a comprehensive treatment of the mathematical machinery they need to analyze systems of autonomous agents, integrating their computational and strategic dimensions."
Michael Wellman, University of Michigan

"... a useful reference volume for researchers and a good foundational body of knowledge for those just starting their exploration of the field. It is rich in examples... With its 13 chapters, this volume definitely deserves a handy place on the shelves of those studying MAS... Highly recommended.
G. Trajkovski, Laureate Higher Education Group for Choice Magazine

"The book with its comprehensive and broad treatment promises to become the standard textbook on multiagent systems. It provides a useful and easy to read survey of a rapidly growing field. The text is one of the clearest expositions of concepts in game theory. The book easily deserves to be on the shelf of any modern theoretical computer scientist."
Haris Aziz, SIGACT News

Book Description

A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material.

Publisher ‏ : ‎ Cambridge University Press; 1st edition (December 15, 2008)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 504 pages
ISBN-10 ‏ : ‎ 0521899435
ISBN-13 ‏ : ‎ 978-0521899437
Item Weight ‏ : ‎ 2.27 pounds
Dimensions ‏ : ‎ 7.3 x 1.4 x 10.1 inches

Best Sellers Rank: #1,187,942 in Books (See Top 100 in Books)
- #207 in Natural Language Processing (Books)
- #264 in Game Theory (Books)
- #555 in Artificial Intelligence (Books)

Customer Reviews:
24 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.

Yoav Shoham

Brief content visible, double tap to read full content.

Full content visible, double tap to read brief content.

Discover more of the author’s books, see similar authors, read author blogs and more

Customer reviews

5 star		73%
4 star		17%
3 star		10%
2 star 0% (0%)		0%
1 star 0% (0%)		0%

How are ratings calculated?

Top reviews from the United States

There was a problem filtering reviews right now. Please try again later.

Sergei Burobin

Useful & easy to read (what else is needed?)

Reviewed in the United States on December 8, 2019

Verified Purchase

What did I like?
Well, the book is well structured and helps with deeper learning of theory of MAS (for example, because of not just mentioning of a book/article that deals deeper with this or that problem, but even giving a kind of very brief review of it).
What else? It is very nice that the authors do not try to seem "too clever" and are able to explain even rather difficult themes in such a way that even a person for whom English is not a mother tongue (I mean myself) reads this book without too big problems with understanding.
And what I also liked a lot is a very long bibliography (13 pages).

What did I dislike?
I think I will be able to answer this question in several months, after I have given a course of lectures based on this book. Well, let's see... Now I have read the whole book and I do not see any serious disadvantages.

2 people found this helpful

Helpful

Moses

I wish I had it earlier

Reviewed in the United States on July 19, 2021

Verified Purchase

Game theory is a personal favourite. I used a different book when I studied a course in game theory. That book served me but my sustained interest in the field made me look out for reputable game theorists and their publications.

I am excited I came across this book. It gives an algorithmic perspective to the concepts it presents. Unlike other book, the book addresses game theory from the true lenses of computer science. If you are interested in algorithms and their application to games this book is a must read.

Helpful

Mark Saroufim

Delightful survey for game theory and mechanism design

Reviewed in the United States on August 17, 2019

Verified Purchase

I used this book to learn more about auctions, mechanism design and the basics of game theory. Those ideas are becoming more and more popular in the crypto community but also the multi agent reinforcement learning community. The breadth of the book is massive but I did appreciate how most of the chapters can be read somewhat independently, makes it easier to pick up and record core concepts you wanna learn more about.

Helpful

Bernt Arild Bremdal

Theoretic

Reviewed in the United States on August 17, 2016

Verified Purchase

A good academic text book, however, extremely theoretical and with some surprising "voids" on important topics. The book had served its purpose better if a few more examples and references to industrial cases were included. Some explanations fall short of what I suspect to be their intention at times. Students using this book would enjoy it as a book of reference for development. But as an aid to help them place MA in a business perspective it fails.

2 people found this helpful

Helpful

Sergio O. Parreiras

How computer science people look at game-theory

Reviewed in the United States on June 26, 2014

Verified Purchase

It is a good exposition of algorithmic game-theory. I bought it to understand more about how computer science people look at game-theory. Sometimes I cringe with the language (e.g. "instantiation" ?) but overall it is well-written and a nice text-book, although I would not teach from it.

One person found this helpful

Helpful

Rumbucket

game theory and software development

Reviewed in the United States on October 2, 2013

Verified Purchase

I have been looking for books on game theory and software development ever since I completed my game theory class. I am still reading this book, but I really like it so far.

2 people found this helpful

Helpful

Peter

A theoretic book

Reviewed in the United States on March 28, 2011

Verified Purchase

have been interested in constraint optimization problems. MAS casted a fresh perspective on solving such problems, which led to more system-wise algorithms.

One person found this helpful

Helpful

Hyogeun K.

Five Stars

Reviewed in the United States on January 2, 2015

Verified Purchase

Good book

Helpful

Top reviews from other countries

Translate all reviews to English

ezavvos

Great introductory book

Reviewed in the United Kingdom on April 14, 2015

Verified Purchase

Very good read and quite easy to understand if you are into math/computer science. It mainly focuses on the more formal definitions, proofs etc. but also has quite a lot of discussion material as well. It is a bit vague in some points like the difference of pure and mixed strategy Nash equilibria and their existence, but I think the author makes their point clearly understood in the vast majority of the material covered.

Dr. Chrilly Donninger

Umfassend und akademisch-öd

Reviewed in Germany on September 7, 2017

Verified Purchase

Ich habe mir mehr ein Buch in Richtung praktische Realisierung von Multiagent-Systems erwartet. Stattdessen ist es eine umfassende aber gleichzeitig nirgends sehr tiefgehende Sammlung von allen möglichen Mathematischen Resultaten. Wobei man in der Regel nie das Gefühl hat, dass das zu irgendwas gut ist. Z.B. wird bewiesen, dass unter bestimmten - nicht sehr realistischen Annahmen - eine Auktion, bei der der Sieger das Gebot des Zweitplazierten bezahlen muss, fair und optimal ist. Ich kenne keine derartige Auktion.
Das Theoretische Grundproblem ist: Die meisten Sätze hängen direkt oder indirekt vom Konzept des Nash-Equilibriums ab. Mathematisch ist der Satz eine relativ triviale Folgerung des Brouwerschen Fixpunktsatzes. John Nash rechnet es selbst nicht zu seinen wichtigsten Mathematischen Resultaten. Aber die Ökonomen lieben den Satz, weil er so schöne Marktgleichgewichte ergibt. Die man allerdings in der Praxis nicht beobachtet. Man beobachtet es auch nicht in anderen Spielsituationen und selbst wenn man etwa für ein Programm die Equilibrium Strategie berechnen kann, dann spielt das Programm nicht besonders gut. Es wird bestensfalls ein schwer besiegbarer Remisschieber. Es versucht nicht die Fehler des Gegners auszunützen.
Ein ähnlich gelagerts Buch ist Noam Nisan et al.: Algorithmic Game Theory. Teilweise überschneiden sich die Kapitel direkt. Es gilt auch für dieses Buch das oben Gesagte.

One person found this helpful

Translate review to English

See all reviews

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations 1st Edition

Frequently bought together

Customers who viewed this item also viewed