Artificial Intelligence for Games

Artificial Intelligence for Games

4.11 - 1251 ratings - Source

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. qArtificial Intelligence for Games - 2nd editionq will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).Lex and Yacc are the two principal tools used in building tokenizers and parsers, respectively. ... In most cases, the resulting software is as good as or better than you would create manually, unless you are experienced with writing parsers.

Title:Artificial Intelligence for Games
Author:Ian Millington, John Funge
Publisher:CRC Press - 2012-10-05


You Must CONTINUE and create a free account to access unlimited downloads & streaming