Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

A comprehensive introduction to Multiagent Systems, this textbook is written from a computer science perspective, while bringing together ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.

Publication date: 15 Dec 2008

ISBN-10: 0521899435

ISBN-13: 9780521899437

Paperback: 504 pages

Views: 3,960

Type: Textbook

Publisher: Cambridge University Press

License: n/a

Post time: 19 Dec 2016 04:00:00

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations A comprehensive introduction to Multiagent Systems, this textbook is written from a computer science perspective, while bringing together ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.
Tag(s): Game Theory Operations Research Proofs
Publication date: 15 Dec 2008
ISBN-10: 0521899435
ISBN-13: 9780521899437
Paperback: 504 pages
Views: 3,960
Document Type: Textbook
Publisher: Cambridge University Press
License: n/a
Post time: 19 Dec 2016 04:00:00
From the Book Description:
Leyton-Brown and Shoham wrote:Multiagent systems consist of multiple autonomous entities having different information and/or diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate and graduate courses. 

Emphasizing foundations, the authors offer a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, non-cooperative game theory, multiagent communication and learning, social choice, mechanism design, auctions, coalitional game theory, and logical theories of knowledge, belief, and other aspects of rational agency. 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.




About The Author(s)


Kevin Leyton-Brown is Professor of Computer Science at the University of British Columbia. He conducts research in two distinct areas: algorithmic game theory and empirical algorithmics and machine learning. 

Kevin Leyton-Brown

Kevin Leyton-Brown is Professor of Computer Science at the University of British Columbia. He conducts research in two distinct areas: algorithmic game theory and empirical algorithmics and machine learning. 


Yoav Shoham is a computer scientist and a Professor Emeritus at Stanford University. He received his Ph.D. at Yale University in 1987. His research interests are artificial intelligence, logic-based knowledge representation, multiagent systems, game theory, and electronic commerce.

Yoav Shoham

Yoav Shoham is a computer scientist and a Professor Emeritus at Stanford University. He received his Ph.D. at Yale University in 1987. His research interests are artificial intelligence, logic-based knowledge representation, multiagent systems, game theory, and electronic commerce.


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