FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title: Multiagent Systems: Algorithmic, GameTheoretic, and Logical Foundations
 Author(s) Yoav Shoham, Kevin LeytonBrown
 Publisher: Cambridge University Press (December 15, 2008), eBook (Revision 1.1, 2010)
 Permission: We have worked with Cambridge University Press to keep the book affordable and to make it broadly accessible. ... Thus, on this page we provide a free electronic copy of Multiagent Systems.
 Hardcover: 504 pages
 eBook: PDF (3.73 MB)
 Language: English
 ISBN10: 0521899435
 ISBN13: 9780521899437
 Share This:
Book Description
Multiagent systems are those systems that include multiple autonomous entities with either diverging information or diverging interests, or both. This comprehensive introduction to a burgeoning field is written from a computer science perspective, while bringing together ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.
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 fastestgrowing area of computer science, and be used as a text for advanced undergraduate or graduate courses.
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.
 Kevin LeytonBrown 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 & Theoretical Algorithmics Laboratory (BETALab) and membership on the editorial board of the Journal of AI Research (JAIR).
 Game Theory
 Algorithms and Data Structures
 Mathematical Logic  Set Theory, Model Theory, Proof Theory, Computability, etc.
 Multiagent Systems: Algorithmic, GameTheoretic, and Logical Foundations
 The Mirror Site (1)  PDF
 The Mirror Site (2)  PDF

AgentBased Evolutionary Game Dynamics (Luis R. Izquierdo, et al.)
A guide to implement and analyze AgentBased Models within the framework of Evolutionary Game Theory, using NetLogo. This book will help you learn new and exciting ways of understanding evolutionary systems.

Logic and the Foundations of Game and Decision Theory
This book collects together revised papersoriginally presented at the 7th Conference onLogic and the Foundations of Game and DecisionTheory (LOFT). LOFT is a key venue forpresenting research at the intersection of logic,economics and computer science.

Game Theory: An Open Access Textbook (Giacomo Bonanno)
This book is an introduction to Game Theory. Accessible to anybody with minimum knowledge of mathematics and no prior knowledge of game theory, yet it is also rigorous and includes several proofs.

Introduction to Game Theory: a Discovery Approach
This book includes an exploration of the ideas of Game Theory through the rich context of popular culture. It contains sections on applications of the concepts to popular culture. It suggests films, television shows, and novels with themes from game theory.

Game Theory Relaunched (Hardy Hanappi)
The game is on. Do you know how to play? Game Theory sets out to explore what can be said about making decisions which go beyond accepting the rules of a game. New simulation tools and network analysis have made game theory omnipresent these days.

Games of No Chance (Richard Nowakowski, editor)
A fascinating look at the mathematics behind games such as checkers, chess, Go, Nim, and NineMen Morris. This book deals with combinatorial games, that is, games not involving chance or hidden information.

Algorithmic Game Theory (Noam Nisan, et al)
This book covers many of the hottest area of useful new Game Theory research, introducing deep new problems, techniques, and perspectives that demand the attention of economists as well as computer scientists.

Game Theory: A Nontechnical Introduction
Striking an appropriate balance of mathematical and analytical rigor, it teaches game theory by examples  serves as an introduction to game theory for students with no prior game theory knowledge, or with limited background in economics and mathematics.

Games, Fixed Points and Mathematical Economics (C. Ewald)
This book gives the reader access to the mathematical techniques involved and goes on to apply fixed point theorems to proving the existence of equilibria for economics and for cooperative and noncooperative games.
:






















