Here is the listing of Best reference books on Networks, Games and Algorithms.
|1. “Algorithmic Game Theory” by N. Nisan, T. Roughgarden, E. Tardos and V. V. Vaziran
Book Review: This book demonstrates the influence of game theory on computer science in the recent times. It specially deals with internet and e-commerce related issues. The book contains chapters ranging from foundations to the state of art. The book also contains introductory chapters on algorithmic methods for equilibrium, mechanism design and combinatorial auctions. Subsequently, the book also contains chapters on incentives, pricing, cost sharing, information markets, cryptography and network security. This book is very useful for researchers and practitioners in the field of game theory.
|2. “Introduction to Game theory” by S. Tijs|
|3. “An Introduction to Game Theoy” by M. Osborne
Book Review: This book is widely used for social and behavioral sciences. The book also demonstrates main principles of game theory and is used to understand economic, social and political phenomena. The book also expresses the major ideas underlying the theory rather than mathematical expression. Logical Reasoning concepts are used throughout the book. Knowledge of basic mathematics is necessary and no knowledge of economics, political science and other behavioral sciences is needed. This book is suitable for graduate and undergraduate courses in game theory.
|4. “Game Theory” by G. Owen
Book Review: This is a standard textbook for courses on game theory and contains all the latest advancements in the field of game theory. The book contains a dedicated section on Monty hall problem that demonstrates how the solution can be obtained by using theoretical game methods rather than conditional probability theory. The book also contains an additional chapter that discusses the contributions of Nobel laureates and their work on mechanism design along with the works on auctions and two sided matching.
|5. “Handbook of Sensor Networks: Algorithms and Architectures” by Ivan Stojmenovic|
|6. “Unity 4.X Game AI Programming” by Sithu Kyaw Naing Swe|
|7. “Geek Sudoku: More Than 75 Algorithmic Puzzles for Hours of Geeky Fun” by Media Adams|
|8. ” Resolving Conflicts with Mathematica: Algorithms for Two-Person Games” by John Canty|
|9. “Advances in Dynamic Game Theory” by Thomas Vincent|
|10. “Algorithms and Networking for Computer Games” by Harri Hakonen|
Sanfoundry Global Education & Learning Series – Best Reference Books!