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portada Knowledge Modelling and Learning through Cognitive Networks
Type
Physical Book
Publisher
Language
English
Pages
240
Format
Hardcover
Dimensions
24.4 x 17.0 x 2.1 cm
Weight
0.72 kg.
ISBN13
9783036543451

Knowledge Modelling and Learning through Cognitive Networks

Stella, Massimo ; Kenett, Yoed N. (Author) · Mdpi AG · Hardcover

Knowledge Modelling and Learning through Cognitive Networks - Stella, Massimo ; Kenett, Yoed N.

New Book Imported to Taiwan
Delivery: 09 Sep - 17 Sep Shipping: 5 to 6 business days.
NT$ 2,280
NT$ 2,280

Synopsis "Knowledge Modelling and Learning through Cognitive Networks "

One of the most promising developments in modelling knowledge is cognitive network science, which aims to investigate cognitive phenomena driven by the networked, associative organization of knowledge. For example, investigating the structure of semantic memory via semantic networks has illuminated how memory recall patterns influence phenomena such as creativity, memory search, learning, and more generally, knowledge acquisition, exploration, and exploitation. In parallel, neural network models for artificial intelligence (AI) are also becoming more widespread as inferential models for understanding which features drive language-related phenomena such as meaning reconstruction, stance detection, and emotional profiling. Whereas cognitive networks map explicitly which entities engage in associative relationships, neural networks perform an implicit mapping of correlations in cognitive data as weights, obtained after training over labelled data and whose interpretation is not immediately evident to the experimenter. This book aims to bring together quantitative, innovative research that focuses on modelling knowledge through cognitive and neural networks to gain insight into mechanisms driving cognitive processes related to knowledge structuring, exploration, and learning. The book comprises a variety of publication types, including reviews and theoretical papers, empirical research, computational modelling, and big data analysis. All papers here share a commonality: they demonstrate how the application of network science and AI can extend and broaden cognitive science in ways that traditional approaches cannot.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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