Knowledge Needs and Information Extraction: Towards an Artificial Consciousness

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Wiley, Feb 5, 2013 - Computers - 288 pages
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This book presents a theory of consciousness which is unique andsustainable in nature, based on physiological andcognitive-linguistic principles controlled by a number ofsocio-psycho-economic factors. In order to anchor this theory,which draws upon various disciplines, the author presents a numberof different theories, all of which have been abundantly studied byscientists from both a theoretical and experimental standpoint,including models of social organization, ego theories, theories ofthe motivational system in psychology, theories of the motivationalsystem in neurosciences, language modeling and computationalmodeling of motivation.
The theory presented in this book is based on the hypothesis thatan individual’s main activities are developed byself-motivation, managed as an informational need. This isdescribed in chapters covering self-motivation on a day-to-daybasis, the notion of need, the hypothesis and control of cognitiveself-motivation and a model of self-motivation which associateslanguage and physiology. The subject of knowledge extraction isalso covered, including the impact of self-motivation on writteninformation, non-transversal and transversal text-mining techniquesand the fields of interest of text mining.


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 andPhysiology.
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 andSociety team at the University of Paris-Est Marne la Vallée inFrance. He specializes in knowledge extraction from texts withtheoretical research into relational and stochastic models. Hisresearch topics also concern the sociology of uses, food andenvironmental sciences, and bioinformatics.

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About the author (2013)

Nicolas Turenne is researcher at INRA University of Paris-Est, Marne la Vallée, France.

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