TY - BOOK AU - Turenne,Nicolas TI - Knowledge needs and information extraction: towards an artificial consciousness T2 - Computer engineering and IT series SN - 1118574567 AV - Q325 .T87 2013 U1 - 006.3 23 PY - 2013/// CY - London, Hoboken, N.J. PB - ISTE, Wiley KW - Consciousness KW - Conscious automata KW - Conscience KW - Machines intelligentes KW - fast N1 - Includes bibliographical references (pages 225-265) and index; Machine generated contents note; 1.1; Multidisciplinarity of the subject --; 1.2; Terminological outlook --; 1.3; Theological point of view --; 1.4; Notion of belief and autonomy --; 1.5; Scientific schools of thought --; 1.6; question of experience --; 2.1; In news blogs --; 2.2; Marketing --; 2.3; Appearance --; 2.4; Mystical experiences --; 2.5; Infantheism --; 2.6; Addiction --; 3.1; Hierarchy of needs --; 3.1.1; Level-1 needs --; 3.1.2; Level-3 needs --; 3.2; satiation cycle --; 4.1; entrepreneurial model --; 4.2; Motivational and ethical states --; 6.1; Behavior and cognition --; 6.2; Theory of self-efficacy --; 6.3; Theory of self-determination --; 6.4; Theory of control --; 6.5; Attribution theory --; 6.6; Standards and self-regulation --; 6.7; Deviance and pathology --; 6.8; Temporal Motivation Theory --; 6.9; Effect of objectives --; 6.10; Context of distance learning --; 6.11; Maintenance model --; 6.12; Effect of narrative --; 6.13; Effect of eviction --; 6.14; Effect of the teacher-student relationship --; 6.15; Model of persistence and change --; 6.16; Effect of the man-machine relationship --; 7.1; Academic literature on the subject --; 7.2; Psychology and Neurosciences --; 7.3; Neurophysiological theory --; 7.4; Relationship between the motivational system and the emotions --; 7.5; Relationship between the motivational system and language --; 7.6; Relationship between the motivational system and need --; 8.1; Issues surrounding language --; 8.2; Interaction and language --; 8.3; Development and language --; 8.4; Schools of thought in linguistic sciences --; 8.5; Semantics and combination --; 8.6; Functional grammar --; 8.7; Meaning-Text Theory --; 8.8; Generative lexicon --; 8.9; Theory of synergetic linguistics --; 8.10; Integrative approach to language processing --; 8.11; New spaces for date production --; 8.12; Notion of ontology --; 8.13; Knowledge representation --; 9.1; Notion of a computational model --; 9.2; Multi-agent systems --; 9.3; Artificial self-organization --; 9.4; Artificial neural networks --; 9.5; Free will theorem --; 9.6; probabilistic utility model --; 9.7; autoepistemic model --; 10.1; Social groups --; 10.2; Innate self-motivation --; 10.3; Mass communication --; 10.4; Cost-Benefit ratio --; 10.5; Social representation --; 10.6; relational environment --; 10.7; Perception --; 10.8; Identity --; 10.9; Social environment --; 10.10; Historical antecedence --; 10.11; Ethics --; 11.1; new model --; 11.2; Architecture of a self-motivation subsystem --; 11.3; Level of certainty --; 11.4; Need for self-motivation --; 11.5; Notion of motive --; 11.6; Age and location --; 11.7; Uniqueness --; 11.8; Effect of spontaneity --; 11.9; Effect of dependence --; 11.10; Effect of emulation --; 11.11; Transition of belief --; 11.12; Effect of individualism --; 11.13; Modeling of the groups of beliefs --; 12.1; Platform for production and consultation of texts --; 12.2; Informational measure of the motives of self-motivation --; 12.2.1; Intra-phrastic extraction --; 12.2.2; Inter-phrastic extraction --; 12.2.3; Meta-phrastic extraction --; 12.3; information market --; 12.4; Types of data --; 12.5; outlines of text mining --; 12.6; Software economy --; 12.7; Standards and metadata --; 12.8; Open-ended questions and challenges for text-mining methods --; 12.9; Notion of lexical noise --; 12.10; Web mining --; 12.11; Mining approach --; 13.1; Constructivist activity --; 13.2; Typicality associated with the data --; 13.3; Specific character of text mining --; 13.4; Supervised, unsupervised and semi-supervised techniques --; 13.5; Quality of a model --; 13.6; scenario --; 13.7; Representation of a datum --; 13.8; Standardization --; 13.9; Morphological preprocessing --; 13.10; Selection and weighting of terminological units --; 13.11; Statistical properties of textual units: lexical laws --; 13.12; Sub-lexical units --; 13.14; Shallow parsing or superficial syntactic analysis --; 13.15; Argumentation models --; 14.1; Mixed and interdisciplinary text mining techniques --; 14.1.1; Supervised, unsupervised and semi-supervised techniques --; 14.2; Techniques for extraction of named entities --; 14.3; Inverse methods --; 14.4; Latent Semantic Analysis --; 14.5; Iterative construction of sub-corpora --; 14.6; Ordering approaches or ranking method --; 14.7; Use of ontology --; 14.8; Interdisciplinary techniques --; 14.9; Information visualization techniques --; 14.10; k-means technique --; 14.11; Naive Bayes classifier technique --; 14.12; k-nearest neighbors (KNN) technique --; 14.13; Hierarchical clustering technique --; 14.14; Density-based clustering techniques --; 14.15; Conditional fields --; 14.16; Nonlinear regression and artificial neural networks --; 14.17; Models of multi-agent systems (MASs) --; 14.18; Co-clustering models --; 14.19; Dependency models --; 14.20; Decision tree technique --; 14.21; Support Vector Machine (SVM) technique --; 14.22; Set of frequent items --; 14.23; Genetic algorithms --; 14.24; Link analysis with a theoretical graph model --; 14.25; Link analysis without a graph model --; 14.26; Quality of a model --; 14.27; Model selection --; 15.1; avenues in text mining --; 15.1.1; Organization --; 15.1.2; Discovery --; 15.2; About decision support --; 15.3; Competitive intelligence (vigilance) --; 15.4; About strategy --; 15.5; About archive management --; 15.6; About sociology and the legal field --; 15.7; About biology --; 15.8; About other domains UR - https://onlinelibrary.wiley.com/doi/book/10.1002/9781118574560 ER -