Artificial Intelligence: A Modern Approach, 3 Global Edition, Stuart Russell
Новое издание
Автор: Russell, Stuart Norvig, Peter Название: Artificial intelligence: a modern approach, 4 global edition ISBN: 1292401133 ISBN-13(EAN): 9781292401133 Издательство: Pearson Education Цена: 104110 T Описание: The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, present concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.
Старое издание
Автор: Russell, Stuart Norvig, Peter Название: Artificial Intelligence: A Modern Approach ISBN: 0132071487 ISBN-13(EAN): 9780132071482 Издательство: Pearson Education Цена: 39010 T Наличие на складе: Невозможна поставка. Описание: For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. View chapters 3 and 4 from the Third Edition.
Автор: Russell, Stuart Norvig, Peter Название: Artificial Intelligence: Pearson New International Edit ISBN: 1292024208 ISBN-13(EAN): 9781292024202 Издательство: Pearson Education Цена: 33440 T Наличие на складе: Невозможна поставка.
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.
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.
