Artificial Intelligence and Signal Processing, Ali Movaghar; Mansour Jamzad; Hossein Asadi

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
Рейтинг:
Цена: 10870.00 р.
Наличие на складе: Поставка под заказ.

Описание: 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.<br><br>"Artificial Intelligence for Games - 2nd edition" 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). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Автор: Li
Название: Artificial Intelligence with Uncertainty
ISBN: 1584889985 ISBN-13(EAN): 9781584889984
Издательство: Taylor&Francis
Рейтинг:
Цена: 17609.00 р.
Наличие на складе: Поставка под заказ.

Описание: Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.