Bayesian Artificial Intelligence, Second Edition, Korb
Старое издание
Автор: Korb, Kevin Название: Bayesian artificial intelligence ISBN: 1584883871 ISBN-13(EAN): 9781584883876 Издательство: Taylor&Francis Цена: 8249 р. Наличие на складе: Поставка под заказ. Описание: Discusses Bayesian net technology and learning and applies them to knowledge engineering. This book offers algorithms and technical background that are needed for applications.
Описание: Second International Conference ICIRA 2009 Singapore December 1618 2009 Proceedings. .
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 9761 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: Ertel Название: Introduction to Artificial Intelligence ISBN: 0857292986 ISBN-13(EAN): 9780857292988 Издательство: Springer Рейтинг: Цена: 4037 р. 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.
Автор: Korb, Kevin Название: Bayesian artificial intelligence ISBN: 1584883871 ISBN-13(EAN): 9781584883876 Издательство: Taylor&Francis Рейтинг: Цена: 8249 р. Наличие на складе: Поставка под заказ.
Описание: Discusses Bayesian net technology and learning and applies them to knowledge engineering. This book offers algorithms and technical background that are needed for applications.
Описание: This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.
Описание: This book constitutes the refereed proceedings of the Second International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005, held in Tsukuba, Japan in July 2005.The 40 revised full papers presented together with an introduction by the editors and 4 invited lectures were thoroughly reviewed and selected from 118 submissions. The papers are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. Special focus is given to applications related with risk, security and safety.
Описание: Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering, intelligent agents, machine learning, neural nets, genetic algorithms and knowledge management. The papers in this volume comprise the refereed proceedings of the Second International Conference on Artificial Intelligence Applications and Innovations,held in Beijing, China in 2005.
Описание: This two volume set LNAI 8102 and LNAI 8103 constitutes the refereed proceedings of the 6th International Conference on Intelligent Robotics and Applications, ICIRA 2013, held in Busan, South Korea, in September 2013.
Описание: Constitutes the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008. This book includes such topics as robot control, cognitive robotics, rehabilitation robotics, health care and artificial limb, robot learning, and robot vision.
Описание: In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas, which are explored in this book.On the one hand, individual privacy protection is a hot topic and must be addressed in order to guarantee the proper evolution of a modern society. On the other, security can invade individual privacy, especially after the appearance of new forms of terrorism. In this book, we analyze these problems from a new point of view.
Автор: Nilsson Название: The Quest for Artificial Intelligence ISBN: 0521116392 ISBN-13(EAN): 9780521116398 Издательство: Cambridge Academ Рейтинг: Цена: 18077 р. Наличие на складе: Поставка под заказ.
Описание: Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
Описание: This book constitutes the refereed proceedings of the 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, held in CovilhГЈ, Portugal in December 2005 as nine integrated workshops.The 58 revised full papers presented were carefully reviewed and selected from a total of 167 submissions. In accordance with the nine constituting workshops, the papers are organized in topical sections on general artificial intelligence (GAIW 2005), affective computing (AC 2005), artificial life and evolutionary algorithms (ALEA 2005), building and applying ontologies for the semantic Web (BAOSW 2005), computational methods in bioinformatics (CMB 2005), extracting knowledge from databases and warehouses (EKDB&W 2005), intelligent robotics (IROBOT 2005), multi-agent systems: theory and applications (MASTA 2005), and text mining and applications (TEMA 2005).
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