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

Yoav Shoham

ISBN 10: 0521899435 / ISBN 13: 9780521899437

Published by Cambridge University Press, 2008

About this Item

2008. 1st Edition. Hardcover. A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material. Num Pages: 504 pages, 14 tables. BIC Classification: UYQ. Category: (U) Tertiary Education (US: College). Dimension: 261 x 187 x 30. Weight in Grams: 1120. Algorithmic, Game-theoretic, and Logical Foundations. 504 pages, 14 tables. A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material. Cateogry: (U) Tertiary Education (US: College). BIC Classification: UYQ. Dimension: 261 x 187 x 30. Weight: 1038. . . . . .

Seller Inventory # V9780521899437

Bibliographic Details

• Title: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
• Publisher: Cambridge University Press
• Publication Date: 2008
• Language: English
• ISBN 10: 0521899435
• ISBN 13: 9780521899437
• Binding: Hardcover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

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

About the Authors

Yoav Shoham is Professor of Computer Science at Stanford University, where he has been since receiving his PhD in computer science from Yale University in 1987. Shoham is a Fellow of the Association for Advancement of Artificial Intelligence (AAAI) and charter member of the International Game Theory Society. Aside from authoring four books and numerous other works, he is director of TARK (Theoretical Aspects of Rationality and Knowledge), a non-profit organization.

Kevin Leyton-Brown is an Assistant Professor of Computer Science at the University of British Columbia. His affiliations include the Laboratory for Computational Intelligence (LCI) and the Bioinformatics, and Empirical and Theoretical Algorithmics Laboratory (BETA-Lab) and membership on the editorial board of the Journal of AI Research (JAIR).