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**: 5,681

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.

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.

Tweet

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.

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.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors