Innovative Issues in Intelligent Systems, Sgurev Vassil, Yager Ronald R., Kacprzyk Janusz
Автор: Vassil Sgurev; Ronald R. Yager; Janusz Kacprzyk; V Название: Innovative Issues in Intelligent Systems ISBN: 3319272667 ISBN-13(EAN): 9783319272665 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bookpresents a broad variety of different contemporary IT methods and applications inIntelligent Systems is displayed.
Автор: Svetozar Margenov; Galia Angelova; Gennady Agre Название: Innovative Approaches and Solutions in Advanced Intelligent Systems ISBN: 3319322060 ISBN-13(EAN): 9783319322063 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a selected collection of papers presented and discussedat the International Conference "Advanced Computing for Innovation (AComIn 2015)".
Автор: Margenov Svetozar, Angelova Galia, Agre Gennady Название: Innovative Approaches and Solutions in Advanced Intelligent Systems ISBN: 3319812238 ISBN-13(EAN): 9783319812236 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a selected collection of papers presented and discussedat the International Conference "Advanced Computing for Innovation (AComIn 2015)".
Описание: Remarkable both for its breadth of coverage of tools and techniques, and for the range of issues they are capable of addressing, this volume features recent work by respected researchers in the field of intelligent systems and computational intelligence.
Описание: Remarkable both for its breadth of coverage of tools and techniques, and for the range of issues they are capable of addressing, this volume features recent work by respected researchers in the field of intelligent systems and computational intelligence.
Автор: Heinz Mandl; Alan Lesgold Название: Learning Issues for Intelligent Tutoring Systems ISBN: 0387966161 ISBN-13(EAN): 9780387966168 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems.
Автор: Lawrence Cavedon; Anand Rao; Wayne Wobcke Название: Intelligent Agent Systems: Theoretical and Practical Issues ISBN: 3540626867 ISBN-13(EAN): 9783540626862 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents 12 revised chapters grouped around three main topics in intelligent systems: agent architectures, formal theories of rationality and co-operation and collaboration. The book covers software agents, BDI architectures, social commitment, believable agents and artificial life.
Автор: Okyay Kaynak; Ger Honderd; Edward Grant Название: Intelligent Systems: Safety, Reliability and Maintainability Issues ISBN: 3540569936 ISBN-13(EAN): 9783540569930 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers presented at a NATO ARW on issues relating to intelligent systems. This book addresses topics including analysis and assessment issues, dependability, intelligent front ends, learning systems, safety and reliability of advanced robotic systems, and dependability considerations in industrial applications.
Автор: Okyay Kaynak; Ger Honderd; Edward Grant Название: Intelligent Systems: Safety, Reliability and Maintainability Issues ISBN: 3642634389 ISBN-13(EAN): 9783642634383 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Research Workshop on Intelligent Systems: Safety, Reliability and Maintainability Issues, held in Kusadasi, Izmir, Turkey, August 25-28, 1992
Автор: Mehrotra Abhinav, Musolesi Mirco Название: Intelligent Notification Systems ISBN: 1681737191 ISBN-13(EAN): 9781681737195 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4990.00 р. Наличие на складе: Нет в наличии.
Описание: Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users.
In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.
Автор: Mehrotra Abhinav, Musolesi Mirco Название: Intelligent Notification Systems ISBN: 1681737213 ISBN-13(EAN): 9781681737218 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7900.00 р. Наличие на складе: Нет в наличии.
Описание: Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users.
In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.
Автор: Judea Pearl Название: Probabilistic Reasoning in Intelligent Systems, ISBN: 1558604790 ISBN-13(EAN): 9781558604797 Издательство: Elsevier Science Рейтинг: Цена: 9599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.
Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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