6 Best Books on Algorithmic Games

Book Review: This book showcases the impact of game theory on computer science in contemporary times, particularly on internet and e-commerce related issues. It consists of a wide range of topics, from foundational to cutting-edge research. The book provides an introduction to algorithmic methods for equilibrium, mechanism design, and combinatorial auctions. It discusses various subjects such as incentives, pricing, cost sharing, information markets, cryptography, and network security. The book is an invaluable resource for both researchers and practitioners in the field of game theory.

“Unity 4.X Game AI Programming” Book Review: This book is designed for programmers interested in creating their own game projects and adding artificial intelligence (AI) features to their knowledge of Unity3D. It takes a practical approach and includes numerous examples and instructions. The book covers a range of topics including flocking and pathfinding using AI algorithms, sensor systems, Unity3D pro features, navigation graphs, finite state machines (FSMs), path following, steering algorithms, and behavior tree techniques. Through the use of these techniques, the book enables readers to construct their own game projects.

“Geek Sudoku” Book Review: More Than 75 Algorithmic Puzzles for Hours of Geeky Fun” Book Review: This is a book of more than 75 algorithmic puzzles for hours of geeky fun. The book contains puzzles of varying levels of difficulty and includes explanations of the algorithms used to generate them. The book also includes tips and tricks for solving Sudoku puzzles and encourages readers to think about the math and logic behind them. This book is a great choice for Sudoku enthusiasts who want to challenge themselves with algorithmic puzzles.

“Resolving Conflicts with Mathematica: Algorithms for Two-Person Games” Book Review: The book begins by introducing the basic theories of extensive and normal form games, including the fundamental concept of Nash equilibria, and goes on to describe the intricacies of degenerate games. It also covers equilibrium selection theory and algorithms for determining evolutionary stable equilibria. The book concludes each chapter with examples and exercises, and features several realistic examples and applications of game theory to aid reader comprehension.

“Algorithms and Networking for Computer Games” Book Review: This book is a valuable resource for students and researchers in computer game-related fields, as well as developers seeking to enhance their knowledge of computer games. It covers practical algorithms for solving classical topics, including random number generation, procedural generation, group formations, game trees, and tournaments. Additionally, it explores networking-related issues in computer games, such as managing communication delays, optimizing network resources, detecting cheating, and measuring online game data. The book also delves into topics such as synthetic players, decision-making, influence maps, finite-state machines, flocking, fuzzy sets, probabilistic reasoning, and noise generation. Each chapter includes examples, exercises, and solutions.