Knowledge Modelling and Learning through Cognitive Networks

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...

Full description

Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Information technology industries
activity-dependent resonance states
adaptation
adolescents
AI
analytics
anxiety
artificial intelligence
automatic relation extraction
big data
biphones
brain
circular causality
classification
cognitive data
cognitive network
cognitive network science
cognitive science
computational philosophy
computational social science
correlation
COVID-19
deep learning
depression
EEG
emotional profiling
emotional recall
emotional states
functional plasticity
gender stereotypes
graph theory
hashtag networks
intellectual disability
intelligent systems
knowledge generation
lexical representations
machine learning
movie plots
n/a
natural language processing
neighborhood density
network analysis
network science
neural networks
pharmacological text corpus
phonemes
phonotactic probability
prehensile synergies
review
robotics
self-organization
semantic network analysis
sentiment analysis
smart assistants
social media
somatosensory representation
story tropes
sub-lexical representations
synaptic learning
text analysis
text mining
Twitter
VADER scoring
web components
web-based interaction
word co-occurrence network
working memory
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Internet

Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Similar Items