Knowledge needs and information extraction: towards an artificial consciousness
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
ISTE [u.a.]
2013
|
| Ausgabe: | 1. publ. |
| Schriftenreihe: | Computer engineering and it series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references (p. [225]-265) and index |
| Beschreibung: | xii, 269 p. ill. 24 cm |
| ISBN: | 9781848215153 |
Internformat
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| 020 | |a 9781848215153 |c hbk |9 978-1-84821-515-3 | ||
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| 100 | 1 | |a Turenne, Nicolas |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Knowledge needs and information extraction |b towards an artificial consciousness |c Nicolas Turenne |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a London [u.a.] |b ISTE [u.a.] |c 2013 | |
| 300 | |a xii, 269 p. |b ill. |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Computer engineering and it series | |
| 500 | |a Includes bibliographical references (p. [225]-265) and index | ||
| 650 | 4 | |a Consciousness | |
| 650 | 4 | |a Conscious automata | |
| 650 | 0 | 7 | |a Bewusstsein |0 (DE-588)4006349-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-025859176 | ||
Datensatz im Suchindex
| _version_ | 1804150161732009984 |
|---|---|
| adam_text | Table
of
Contents
Introduction
........................................ xi
Acknowledgements
................................... xiii
Chapter
1.
Consciousness: an Ancient and Current Topic of Study
..... 1
1.1.
Multidisciplinarity of the subject
....................... 1
1.2.
Terminological outlook
............................. 2
1.3.
Theological point of view
........................... 4
1.4.
Notion of belief and autonomy
........................ 5
1.5.
Scientific schools of thought
.......................... 6
1.6.
The question of experience
........................... 7
Chapter
2.
Self-motivation on a Daily Basis
.................... 9
2.1.
In news blogs
................................... 9
2.2.
Marketing
..................................... 9
2.3.
Appearance
.................................... 10
2.4.
Mystical experiences
.............................. 11
2.5.
Infantheism
.................................... 11
2.6.
Addiction
..................................... 11
Chapter
3.
The Notion of Need
............................ 15
3.1.
Hierarchy of needs
................................ 15
3.1.1.
Level-1 needs
................................ 16
3.1.2.
Level-3 needs
................................ 17
3.2.
The satiation cycle
................................ 18
vi
Knowledge
Needs and Information Extraction
Chapter
4.
The Models of Social Organization
.................. 21
4.1.
The entrepreneurial model
........................... 21
4.2.
Motivational and ethical states
........................ 23
Chapter
5.
Self Theories
................................ 29
Chapter
6.
Theories of Motivation in Psychology
................ 33
6.1.
Behavior and cognition
............................. 33
6.2.
Theory of self-efficacy
............................. 34
6.3.
Theory of self-determination
......................... 38
6.4.
Theory of control
................................ 39
6.5.
Attribution theory
................................ 39
6.6.
Standards and self-regulation
......................... 42
6.7.
Deviance and pathology
............................ 47
6.8.
Temporal Motivation Theory
......................... 48
6.9.
Effect of objectives
............................... 49
6.10.
Context of distance learning
......................... 49
6.11.
Maintenance model
.............................. 49
6.12.
Effect of narrative
............................... 49
6.13.
Effect of eviction
................................ 50
6.14.
Effect of the teacher-student relationship
................. 50
6.15.
Model of persistence and change
...................... 50
6.16.
Effect of the man-machine relationship
.................. 51
Chapter
7.
Theories of Motivation in
Neurosciences
.............. 53
7.1.
Academic literature on the subject
...................... 53
7.2.
Psychology and
Neurosciences
........................ 53
7.3.
Neurophysiological theory
........................... 54
7.4.
Relationship between the motivational system and the emotions
.... 56
7.5.
Relationship between the motivational system and language
...... 58
7.6.
Relationship between the motivational system and need
......... 59
Chapter
8.
Language Modeling
............................ 61
8.1.
Issues surrounding language
.......................... 61
8.2.
Interaction and language
............................ 61
8.3.
Development and language
.......................... 62
8.4.
Schools of thought in linguistic sciences
.................. 62
8.5.
Semantics and combination
.......................... 68
8.6.
Functional grammar
............................... 68
8.7.
Meaning-Text Theory
.............................. 69
8.8.
Generative lexicon
................................ 70
Table
of
Contents
vii
8.9.
Theory of synergetic linguistics
........................ 70
8.10.
Integrative
approach to language processing
............... 71
8.11.
New spaces for date production
....................... 73
8.12.
Notion of ontology
............................... 75
8.13.
Knowledge representation
.......................... 76
Chapter
9.
Computational Modeling of Motivation
............... 81
9.1.
Notion of a computational model
....................... 81
9.2.
Multi-agent systems
............................... 81
9.3.
Artificial self-organization
........................... 85
9.4.
Artificial neural networks
........................... 87
9.5.
Free will theorem
................................ 88
9.6.
The probabilistic utility model
........................ 89
9.7.
The autoepistemic model
............................ 91
Chapter
10.
Hypothesis and Control of Cognitive Self-Motivation
..... 93
10.1.
Social groups
.................................. 93
10.2.
Innate self-motivation
............................. 95
10.3.
Mass communication
............................. 96
10.4.
The Cost-Benefit ratio
............................ 97
10.5.
Social representation
.............................. 98
10.6.
The relational environment
.......................... 99
10.7.
Perception
.................................... 100
10.8.
Identity
...................................... 100
10.9.
Social environment
.............................. 101
10.10.
Historical antecedence
............................ 102
10.11.
Ethics
...................................... 102
Chapter
11.
A Model of Self-Motivation which Associates
Language and Physiology
............................... 105
11.1.
A new model
.................................. 105
11.2.
Architecture of a self-motivation subsystem
................ 106
11.3.
Level of certainty
................................ 108
11.4.
Need for self-motivation
........................... 108
11.5.
Notion of motive
................................ 109
11.6.
Age and location
................................ 113
11.7.
Uniqueness
................................... 113
11.8.
Effect of spontaneity
.............................. 114
11.9.
Effect of dependence
............................. 114
11.10.
Effect of emulation
.............................. 115
11.11.
Transition of belief
.............................. 115
viii Knowledge
Needs and Information Extraction
11.12.
Effect of individualism
........................... 117
11.13.
Modeling of the groups of beliefs
..................... 117
Chapter
12.
Impact of Self-Motivation on Written Information
....... 123
12.1.
Platform for production and consultation of texts
............ 123
12.2.
Informational measure of the motives of self-motivation
........ 124
12.2.1.
Intra-phrastic extraction
......................... 125
12.2.2.
Inter-phrastic extraction
......................... 126
12.2.3.
Meta-phrastic extraction
......................... 128
12.3.
The information market
............................ 129
12.4.
Types of data
.................................. 130
12.5.
The outlines of text mining
.......................... 133
12.6.
Software economy
............................... 139
12.7.
Standards and metadata
............................ 139
12.8.
Open-ended questions and challenges for text-mining methods
.... 140
12.9.
Notion of lexical noise
............................ 141
12.10.
Web mining
.................................. 143
12.11.
Mining approach
............................... 145
Chapter
13.
Non-Transversal Text Mining Techniques
............ 147
13.1.
Constructivist
activity
............................. 147
13.2.
Typicality associated with the data
..................... 148
13.3.
Specific character of text mining
...................... 148
13.4.
Supervised, unsupervised and semi-supervised techniques
....... 149
13.5.
Quality of a model
............................... 149
13.6.
The scenario
................................... 149
13.7.
Representation of a datum
.......................... 150
13.8.
Standardization
................................. 151
13.9.
Morphological preprocessing
........................ 152
13.10.
Selection and weighting of terminological units
............. 153
13.11.
Statistical properties of textual units: lexical laws
........... 154
13.12.
Sub-lexical units
............................... 155
13.14.
Shallow parsing or superficial syntactic analysis
............ 157
13.15.
Argumentation models
............................ 158
Chapter
14.
Transversal Text Mining Techniques
................ 159
14.1.
Mixed and interdisciplinary text mining techniques
........... 159
14.1.1.
Supervised, unsupervised and semi-supervised techniques
.... 159
14.2.
Techniques for extraction of named entities
................ 160
14.3.
Inverse methods
................................ 163
14.4.
Latent Semantic Analysis
........................... 164
Table
of
Contents ix
14.5. Iterative
construction of sub-corpora
.................... 165
14.6.
Ordering approaches or ranking method
.................. 165
14.7.
Use of ontology
................................. 166
14.8.
Interdisciplinary techniques
......................... 167
14.9.
Information visualization techniques
.................... 167
14.10.
The k-means technique
........................... 168
14.11.
Naive
Bayes
classifier technique
...................... 169
14.12.
The k-nearest neighbors (KNN) technique
................ 170
14.13.
Hierarchical clustering technique
..................... 171
14.14.
Density-based clustering techniques
.................... 172
14.15.
Conditional fields
............................... 175
14.16.
Nonlinear regression and artificial neural networks
.......... 176
14.17.
Models of multi-agent systems (MASs)
................. 177
14.18.
Co-clustering models
............................ 178
14.19.
Dependency models
............................. 179
14.20.
Decision tree technique
........................... 179
14.21.
The Support Vector Machine (SVM) technique
............. 180
14.22.
Set of frequent items
............................. 182
14.23.
Genetic algorithms
.............................. 184
14.24.
Link analysis with a theoretical graph model
.............. 184
14.25.
Link analysis without a graph model
................... 185
14.26.
Quality of a model
.............................. 186
14.27.
Model selection
................................ 189
Chapter
15.
Fields of Interest for Text Mining
.................. 191
15.1.
The avenues in text mining
.......................... 191
15.1.1.
Organization
................................ 191
15.1.2.
Discovery
.................................. 193
15.2.
About decision support
............................ 194
15.3.
Competitive intelligence (vigilance)
.................... 195
15.4.
About strategy
................................. 197
15.5.
About archive management
......................... 200
15.6.
About sociology and the legal field
..................... 203
15.7.
About biology
................................. 215
15.8.
About other domains
............................. 219
Conclusion
......................................... 221
Bibliography
....................................... 225
Index
............................................ 267
|
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| isbn | 9781848215153 |
| language | English |
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| spelling | Turenne, Nicolas Verfasser aut Knowledge needs and information extraction towards an artificial consciousness Nicolas Turenne 1. publ. London [u.a.] ISTE [u.a.] 2013 xii, 269 p. ill. 24 cm txt rdacontent n rdamedia nc rdacarrier Computer engineering and it series Includes bibliographical references (p. [225]-265) and index Consciousness Conscious automata Bewusstsein (DE-588)4006349-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Bewusstsein (DE-588)4006349-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025859176&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Turenne, Nicolas Knowledge needs and information extraction towards an artificial consciousness Consciousness Conscious automata Bewusstsein (DE-588)4006349-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4006349-5 (DE-588)4033447-8 |
| title | Knowledge needs and information extraction towards an artificial consciousness |
| title_auth | Knowledge needs and information extraction towards an artificial consciousness |
| title_exact_search | Knowledge needs and information extraction towards an artificial consciousness |
| title_full | Knowledge needs and information extraction towards an artificial consciousness Nicolas Turenne |
| title_fullStr | Knowledge needs and information extraction towards an artificial consciousness Nicolas Turenne |
| title_full_unstemmed | Knowledge needs and information extraction towards an artificial consciousness Nicolas Turenne |
| title_short | Knowledge needs and information extraction |
| title_sort | knowledge needs and information extraction towards an artificial consciousness |
| title_sub | towards an artificial consciousness |
| topic | Consciousness Conscious automata Bewusstsein (DE-588)4006349-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Consciousness Conscious automata Bewusstsein Künstliche Intelligenz |
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