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Knowledge Needs and Information Extraction: Towards an Artificial Consciousness
book

Knowledge Needs and Information Extraction: Towards an Artificial Consciousness

by Nicolas Turenne
March 2013
Beginner content levelBeginner
288 pages
8h 34m
English
Wiley
Content preview from Knowledge Needs and Information Extraction: Towards an Artificial Consciousness

Index

A, B

addiction

archive management

artificial neural network

artificial self-organization

attribution theory

autoepistemic model

autonomy

biology

molecular

neuro-

blog

C, D

co-clustering models

competitive intelligence

cost–benefit ratio

decision tree

technique

dependence

distance learning

E

emulation

entrepreneurial model

environment

cultural

individual’s

intellectual

political

relational

social

working

ethics

eviction

extraction

intra-phrastic

inter-phrastic

meta-phrastic

F, G

free will

genetic algorithms

grammar

context-dependent

context-free

descriptive

functional

generative

regular

syntagmatic

universal

unrestricted

Wittgensteinian

H, I

hierarchical clustering technique

identity

individualism

infantheism

inverse method

K, L

k-means

technique

clustering

k-nearest neighbors (KNN)

technique

language processing

lexical noise

lexicon

generative

M, N

maintenance model

man–machine relationship

marketing

mass communication

morphological preprocessing

multi-agent system (MAS)

mystical

named entity

narrative

neurophysiological theory

neurosciences

O, P

ontology

pathology

psychopathology

perception

persistence

probabilistic utility model

R, S

ranking method

satiation

self-determination

self-efficacy

self-regulation

semantics

shallow parsing

social representation

sociology

spontaneity

strategy

sub-corpora

support vector machine (SVM)

model

technique

T, U

teacher–student relationship

temporal motivation theory (TMT)

uniqueness

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Publisher Resources

ISBN: 9781118574591Purchase book