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Artificial Intelligence and Games, Georgios N. Yannakakis; Julian Togelius


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Цена: 30740.00T
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Склад Англия: 1 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Georgios N. Yannakakis; Julian Togelius
Название:  Artificial Intelligence and Games
ISBN: 9783319635187
Издательство: Springer
Классификация:


ISBN-10: 3319635182
Обложка/Формат: Hardcover
Вес: 0.69 кг.
Язык: English
Размер: 241 x 165 x 26
Основная тема: Computer Science
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players.

Artificial Intelligence for Games

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
Рейтинг:
Цена: 72470.00 T
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.

Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms

Автор: Buduma Nikhil
Название: Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms
ISBN: 1491925612 ISBN-13(EAN): 9781491925614
Издательство: Wiley
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Цена: 36950.00 T
Наличие на складе: Невозможна поставка.
Описание: In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. If you`re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started.

Artificial Intelligence for Computer Games

Автор: Pedro Antonio Gonz?lez-Calero; Marco Antonio G?mez
Название: Artificial Intelligence for Computer Games
ISBN: 1493900536 ISBN-13(EAN): 9781493900534
Издательство: Springer
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Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This reviews the integration of current academic AI techniques into electronic entertainment games, including pathfinding, decision making, learning complex behavior, and the latest real-time search methods, all aimed at closer interaction with the player.

Introduction to Artificial Intelligence

Автор: Ertel
Название: Introduction to Artificial Intelligence
ISBN: 0857292986 ISBN-13(EAN): 9780857292988
Издательство: Springer
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Цена: 32560.00 T
Наличие на складе: Невозможна поставка.
Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.


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