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Artificial Intelligence in Education, Elisabeth Andr?; Ryan Baker; Xiangen Hu; Ma. Merce


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Цена: 83850.00T
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Склад Америка: 154 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Elisabeth Andr?; Ryan Baker; Xiangen Hu; Ma. Merce
Название:  Artificial Intelligence in Education
ISBN: 9783319614243
Издательство: Springer
Классификация:




ISBN-10: 331961424X
Обложка/Формат: Paperback
Страницы: 678
Вес: 0.97 кг.
Дата издания: 23.06.2017
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 160 illustrations, black and white; xxix, 678 p. 160 illus.
Размер: 234 x 156 x 36
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: The 36 revised full papers presented together with 4 keynotes, 37 poster, presentations, 4 doctoral consortium papers, 5 industry papers, 4 workshop abstracts, and 2 tutorial abstracts were carefully reviewed and selected from 159 submissions.

Apocalyptic AI: Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality

Автор: Geraci Robert M.
Название: Apocalyptic AI: Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality
ISBN: 0195393023 ISBN-13(EAN): 9780195393026
Издательство: Oxford Academ
Рейтинг:
Цена: 29560.00 T
Наличие на складе: Поставка под заказ.
Описание: Apocalyptic AI, the hope that we might one day upload our minds into machines and live forever in cyberspace, has become commonplace. This view now affects robotics and AI funding, play in online games, and philosophical and theological conversations about morality and human dignity.

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: Нет в наличии.
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.

Introduction to Artificial Intelligence

Автор: Ertel
Название: Introduction to Artificial Intelligence
ISBN: 0857292986 ISBN-13(EAN): 9780857292988
Издательство: Springer
Рейтинг:
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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