Key Features
  • Balanced treatment of non-cooperative game theory, cooperative game theory, as well as mechanism design in a single text for the first time
  • First of its kind in focus exclusively on engineering, computer science, and web applications of game theory and mechanism design in the modern era
  • Rich in contemporary and pedagogical examples to facilitate a clear understanding of the concepts and ideas; examples chosen carefully from traditional as well as modern topics in computer science, networks, engineering, and microeconomics
  • Includes illustrative exercises and other paraphernalia to assist teachers, students, and researchers alike
  • Distills and clearly articulates the fundamental contributions of legendary game theorists and provides historical appraisals as well

About The Book

This book offers a self-sufficient treatment of a key tool, game theory and mechanism design, to model, analyze, and solve centralized as well as decentralized design problems involving multiple autonomous agents that interact strategically in a rational and intelligent way. The contents of the book provide a sound foundation of game theory and mechanism design theory which clearly represent the “science” behind traditional as well as emerging economic applications for the society.

The importance of the discipline of game theory has been recognized through numerous Nobel prizes in economic sciences being awarded to game theorists, including the 2005, 2007, and 2012 prizes. The book distills the marvelous contributions of these and other celebrated game theorists and presents it in a way that can be easily understood even by senior undergraduate students.

A unique feature of the book is its detailed coverage of mechanism design which is the art of designing a game among strategic agents so that a social goal is realized in an equilibrium of the induced game. Another feature is a large number of illustrative examples that are representative of both classical and modern applications of game theory and mechanism design. The book also includes informative biographical sketches of game theory legends, and is specially customized to a general engineering audience.

After a thorough reading of this book, readers would be able to apply game theory and mechanism design in a principled and mature way to solve relevant problems in computer science (esp, artificial intelligence/machine learning), computer engineering, operations research, industrial engineering and microeconomics.


Senior undergraduate, first year master's, and first year research students studying computer science, networks, communications, electrical engineering, industrial engineering and operations research, microeconomics, and management science. Researchers and industry professionals who wish to explore game theory and mechanism design in Internet and network economics applications

  • Computer science students will be able to make forays into topical areas such as algorithmic game theory, algorithmic mechanism design, computational social choice, auctions and market design, electronic commerce, Internet monetization, social network research, and mechanism design for multiagent systems.
  • Computer science, electronics, and electrical engineering students would be able to explore research areas like network protocol design, dynamic resource allocation in networked systems, design of multiagent smart grid networks, and network science.
  • Industrial engineering or management science students would be in a position to undertake research in supply chain network design, logistics engineering, dynamic pricing in e-business, etc.
  • Researchers on inter-disciplinary topics such as cyberphysical systems, intelligent transportation, service science, green supply chains, and human computation systems (such as crowdsourcing networks) would be able to formulate and solve topical problems using the tools covered in this book.
  • With a judicious selection of topics, several course offerings are possible:
    • An undergraduate level course on game theory
    • A master's level course on game theory
    • As a supplementary resource for a graduate level course on game theory