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...

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Формат:	Online
Язык:	английский
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Предметы:	text mining big data analytics review self-organization computational philosophy brain synaptic learning adaptation functional plasticity activity-dependent resonance states circular causality somatosensory representation prehensile synergies robotics COVID-19 social media hashtag networks emotional profiling cognitive science network science sentiment analysis computational social science Twitter VADER scoring correlation semantic network analysis intellectual disability adolescents EEG emotional states working memory depression anxiety graph theory classification machine learning neural networks phonotactic probability neighborhood density sub-lexical representations lexical representations phonemes biphones cognitive network smart assistants knowledge generation intelligent systems web components deep learning web-based interaction cognitive network science text analysis natural language processing artificial intelligence emotional recall cognitive data AI pharmacological text corpus automatic relation extraction gender stereotypes story tropes movie plots network analysis word co-occurrence network n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Online-ссылка:	ONIX_20220706_9783036543451_57
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Knowledge Modelling and Learning through Cognitive Networks

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