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Advanced artificial intelligence /, Shi, Zhongzhi,


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Цена: 31680.00р.
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При оформлении заказа до: 2025-11-03
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Автор: Shi, Zhongzhi,
Название:  Advanced artificial intelligence /
ISBN: 9789811200878
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9811200874
Обложка/Формат: Hardcover
Страницы: 596
Вес: 1.14 кг.
Дата издания: 29.08.2019
Серия: Series on intelligence science
Язык: English
Издание: Second edition
Размер: 244 x 170 x 32
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Artificial intelligence, COMPUTERS / Intelligence (AI) & Semantics,COMPUTERS / Logic Design,COMPUTERS / Neural Networks
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Поставляется из: Англии
Описание:

The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.

This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.

The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.




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Artificial Intelligence for Games

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

Advanced Topics in Artificial Intelligence

Автор: Rolf T. Nossum
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540506764 ISBN-13(EAN): 9783540506768
Издательство: Springer
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Цена: 9781.00 р.
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Advanced Topics in Artificial Intelligence

Автор: Vladimir Marik; Olga Stepankova; Robert Trappl
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540556818 ISBN-13(EAN): 9783540556817
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Contains the texts of 26 lectures and contributions to the program of the International Summer School on Advanced Topics in Artificial Intelligence, held in Prague, in July 1992. The conference was organized for those interested in recent developments in both theoretical and applied AI.

IPMU`92 - Advanced Methods in Artificial Intelligence

Автор: Bernadette Bouchon-Meunier; Llorenc Valverde; Rona
Название: IPMU`92 - Advanced Methods in Artificial Intelligence
ISBN: 3540567356 ISBN-13(EAN): 9783540567356
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The papers in this volume are based on presentations at the fourth IPMU Conference, held in Palma de Mallorca, July 6-10, 1992. The conference focused on issues related to the acquisition, representation, management and transmission of information in knowledge-based and decision-making systems.

Advanced Topics in Artificial Intelligence

Автор: Abdul Sattar
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540637974 ISBN-13(EAN): 9783540637974
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This volume presents 48 revised full papers selected from a total of 143 submissions. Also included are three keynote talks and one invited paper. Constraint satisfaction and schedulling, distributed AI, evolutionary computing, and knowledge-based systems are among the subjects covered.

Advanced Topics in Artificial Intelligence

Автор: Norman Foo
Название: Advanced Topics in Artificial Intelligence
ISBN: 3540668225 ISBN-13(EAN): 9783540668220
Издательство: Springer
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Цена: 12577.00 р.
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Advanced Research on Biologically Inspired Cognitive Architectures

Автор: Vallverdu Jordi, Mazzara Manuel, Talanov Max
Название: Advanced Research on Biologically Inspired Cognitive Architectures
ISBN: 1522519475 ISBN-13(EAN): 9781522519478
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: There are many different approaches to understanding human consciousness. By conducting research to better understand various biological mechanisms, these can be redefined and utilized for technological purposes.Advanced Research on Biologically Inspired Cognitive Architectures is an essential reference source for the latest scholarly research on the biological elements of human cognition and examines the applications of consciousness within computing environments. Featuring exhaustive coverage on a broad range of innovative topics and perspectives, such as artificial intelligence, bio-robotics, and human-computer interaction, this publication is ideally designed for academics, researchers, professionals, graduate students, and practitioners seeking current research on the exploration of the intricacies of consciousness and different approaches of perception.

Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications

Автор: Bhattacharyya Siddhartha, Banerjee Pinaki, Majumdar Dipankar
Название: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
ISBN: 1466694742 ISBN-13(EAN): 9781466694743
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 р.
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Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

Python: Advanced Guide to Artificial Intelligence

Автор: Bonaccorso Giuseppe, Fandango Armando, Shanmugamani Rajalingappaa
Название: Python: Advanced Guide to Artificial Intelligence
ISBN: 1789957214 ISBN-13(EAN): 9781789957211
Издательство: Неизвестно
Цена: 9194.00 р.
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Описание: This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You`ll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to ...

Advanced Fuzzy Logic Approaches in Engineering Science

Автор: Mangey Ram
Название: Advanced Fuzzy Logic Approaches in Engineering Science
ISBN: 1522557091 ISBN-13(EAN): 9781522557098
Издательство: Mare Nostrum (Eurospan)
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Цена: 30723.00 р.
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Описание: Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity.Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827372 ISBN-13(EAN): 9781799827375
Издательство: Mare Nostrum (Eurospan)
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Цена: 20236.00 р.
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Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827364 ISBN-13(EAN): 9781799827368
Издательство: Mare Nostrum (Eurospan)
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Цена: 26195.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.


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