Cognition, Information Processing, and Psychophysics, Geissler, Hans-Georg
Автор: Kaernbach, Christian Название: Psychophysics Beyond Sensation ISBN: 0805842500 ISBN-13(EAN): 9780805842500 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kaernbach, Christian Название: Psychophysics Beyond Sensation ISBN: 0415651182 ISBN-13(EAN): 9780415651189 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Gregson, Robert A. M. Название: n-Dimensional Nonlinear Psychophysics ISBN: 0367764865 ISBN-13(EAN): 9780367764869 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Нет в наличии.
Автор: O. Bar-Or; Gunilla Ljunggren; Stan Dornic; A.-M. B Название: Psychophysics in Action ISBN: 3642743846 ISBN-13(EAN): 9783642743849 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The former has not only influenced Gunnar`s early unconventional works on "gestalt strength" but also one of his major areas of thinking, the notion of "total perceived effort," which can be seen as a "gestalt" underlain by a variety of sensory data.
Автор: Gregson, Robert A. M. Название: n-Dimensional Nonlinear Psychophysics ISBN: 0367764989 ISBN-13(EAN): 9780367764982 Издательство: Taylor&Francis Рейтинг: Цена: 5051.00 р. Наличие на складе: Нет в наличии.
Автор: Baird, John C. Название: Sensation and Judgment ISBN: 0805818308 ISBN-13(EAN): 9780805818307 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Нет в наличии.
Автор: Klahr, David Название: Complex Information Processing ISBN: 0805801782 ISBN-13(EAN): 9780805801781 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Нет в наличии.
Описание: The Machines Inside Our Brain: Cognitive Mechanisms of Information Processing is an innovative anthology that not only provides students with engaging articles pertaining to brain processes of information processing and storage, but also teaches students how to strategically read, analyze, and digest scientific articles.The collection begins with a comprehensive instructional chapter that teaches students how to approach the consumption and analysis of a scientific article. Readers learn about the compositional features of an article, what it means when an article is peer reviewed, how to effectively annotate an article to increase personal comprehension, and more. Students are then challenged to apply these techniques to the articles within the anthology, then answer a variety of deep, applied questions regarding their contents. The readings within the collection share research cover the variety of cognitive processes that our brains carry out. Specific articles explore attention, automatic processing of information, the manipulation of mental representations, accessing memory, the structure of short-term memory, the nature of knowledge representation, expertise, problem solving, and more. A unique anthology that shares both classic and cutting-edge research while teaching students how to critically examine scientific articles, The Machines Inside Our Brain is well-suited for courses that focus on memory and brain processes, as well as classes that seek to provide a comprehensive survey of cognitive psychology while teaching students to read the primary scientific literature.
Автор: Kim-Phuong L. Vu, Robert W. Proctor Название: Attention: Selection and Control in Human Information Processing ISBN: 1433833867 ISBN-13(EAN): 9781433833861 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12413.00 р. Наличие на складе: Поставка под заказ.
Описание: Presents a comprehensive and accessible overview of the science of attention, conveying its central findings and applications to real-world issues, including its relationship with technology, learning, and memory.
Автор: Tom Addis Название: Natural and Artificial Reasoning ISBN: 3319384937 ISBN-13(EAN): 9783319384931 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the principle puzzle explored in this book where ideas behind systems that behave intelligently are described and different philosophical issues are touched upon.The key to human behavior is taken to be intelligence and the ability to reason about the world.
Название: Handbook of Learning and Cognitive Processes (Volume 5) ISBN: 1848723970 ISBN-13(EAN): 9781848723979 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Originally published in 1978 Volume 5 of this Handbook reflects a single theoretical orientation, that characterized by the term human information processing in the literature at the time, but which ranges over a very broad spectrum of cognitive activities.
Автор: Lei Meng; Ah-Hwee Tan; Donald C. Wunsch II Название: Adaptive Resonance Theory in Social Media Data Clustering ISBN: 3030029840 ISBN-13(EAN): 9783030029845 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data:Basic knowledge (data & challenges) on social media analyticsClustering as a fundamental technique for unsupervised knowledge discovery and data miningA class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domainAdaptive Resonance Theory in Social Media Data Clustering stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction.It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks.Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you:How to process big streams of multimedia data?How to analyze social networks with heterogeneous data?How to understand a user’s interests by learning from online posts and behaviors?How to create a personalized search engine by automatically indexing and searching multimodal information resources? .
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