Nicolas Turenne 
Knowledge Needs and Information Extraction [PDF ebook] 
Towards an Artificial Consciousness

This book presents a theory of consciousness which is unique and
sustainable in nature, based on physiological and
cognitive-linguistic principles controlled by a number of
socio-psycho-economic factors. In order to anchor this theory,
which draws upon various disciplines, the author presents a number
of different theories, all of which have been abundantly studied by
scientists from both a theoretical and experimental standpoint,
including models of social organization, ego theories, theories of
the motivational system in psychology, theories of the motivational
system in neurosciences, language modeling and computational
modeling of motivation.
The theory presented in this book is based on the hypothesis that
an individual’s main activities are developed by
self-motivation, managed as an informational need. This is
described in chapters covering self-motivation on a day-to-day
basis, the notion of need, the hypothesis and control of cognitive
self-motivation and a model of self-motivation which associates
language and physiology. The subject of knowledge extraction is
also covered, including the impact of self-motivation on written
information, non-transversal and transversal text-mining techniques
and the fields of interest of text mining.
Contents:
1. Consciousness: an Ancient and Current Topic of Study.
2. Self-motivation on a Daily Basis.
3. The Notion of Need.
4. The Models of Social Organization.
5. Self Theories.
6. Theories of Motivation in Psychology.
7. Theories of Motivation in Neurosciences.
8. Language Modeling.
9. Computational Modeling of Motivation.
10. Hypothesis and Control of Cognitive Self-Motivation.
11. A Model of Self-Motivation which Associates Language and
Physiology.
12. Impact of Self-Motivation on Written Information.
13. Non-Transversal Text Mining Techniques.
14. Transversal Text Mining Techniques.
15. Fields of Interest for Text Mining.
About the Authors
Nicolas Turenne is a researcher at INRA in the Science and
Society team at the University of Paris-Est Marne la Vallée in
France. He specializes in knowledge extraction from texts with
theoretical research into relational and stochastic models. His
research topics also concern the sociology of uses, food and
environmental sciences, and bioinformatics.

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