The essential guide to solving algorithmic and networking problems in commercial computer games, revised and extended
Algorithms and Networking for Computer Games, Second Edition is written from the perspective of the computer scientist. Combining algorithmic knowledge and game-related problems, it explores the most common problems encountered in game programing.
The first part of the book presents practical algorithms for solving “classical” topics, such as random numbers, procedural generation, tournaments, group formations and game trees. The authors also focus on how to find a path in, create the terrain of, and make decisions in the game world.
The second part introduces networking related problems in computer games, focusing on four key questions: how to hide the inherent communication delay, how to best exploit limited network resources, how to cope with cheating and how to measure the on-line game data.
Thoroughly revised, updated, and expanded to reflect the many constituent changes occurring in the commercial gaming industry since the original, this Second Edition, like the first, is a timely, comprehensive resource offering deeper algorithmic insight and more extensive coverage of game-specific networking problems than ordinarily encountered in game development books.
Algorithms and Networking for Computer Games, Second Edition:
- Provides algorithmic solutions in pseudo-code format, which emphasises the idea behind the solution, and can easily be written into a programming language of choice
- Features a section on the Synthetic player, covering decision-making, influence maps, finite-state machines, flocking, fuzzy sets, and probabilistic reasoning and noise generation
- Contains in-depth treatment of network communication, including dead-reckoning, local perception filters, cheating prevention and on-line metrics
- Now includes 73 ready-to-use algorithms and 247 illustrative exercises
Algorithms and Networking for Computer Games, Second Edition is a must-have resource for advanced undergraduate and graduate students taking computer game related courses, postgraduate researchers in game-related topics, and developers interested in deepening their knowledge of the theoretical underpinnings of computer games and in learning new approaches to game design and programming.
Table of Contents
Chapter 1 Introduction
Part I Algorithms
Chapter 2 Random Numbers
Chapter 3 Noise
Chapter 4 Procedural Generation
Chapter 5 Tournaments
Chapter 6 Game Trees
Chapter 7 Path Finding
Chapter 8 Group Movement
Chapter 9 Decision-Making
Chapter 10 Modelling Uncertainty
Part II Networking
Chapter 11 Communication Layers
Chapter 12 Compensating Resource Limitations
Chapter 13 Cheating Prevention
Chapter 14 Online Metrics
Appendix A Pseudocode Conventions
AppendixB Practical Vectors and Matrices