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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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ONIX_20220706_9783036543451_57

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