Download Knowledge Needs and Information Extraction: Towards an by Nicolas Turenne PDF

By Nicolas Turenne

This e-book provides a concept of awareness that is particular and sustainable in nature, in response to physiological and cognitive-linguistic ideas managed by means of a few socio-psycho-economic elements. on the way to anchor this thought, which pulls upon a number of disciplines, the writer provides a couple of diversified theories, all of which were abundantly studied via scientists from either a theoretical and experimental perspective, together with types of social association, ego theories, theories of the motivational approach in psychology, theories of the motivational method in neurosciences, language modeling and computational modeling of motivation.
The conception awarded during this publication is predicated at the speculation that an individual’s major actions are constructed via self-motivation, controlled as an informational desire. this can be defined in chapters overlaying self-motivation on a daily foundation, the suggestion of desire, the speculation and keep watch over of cognitive self-motivation and a version of self-motivation which affiliates language and body structure. the topic of data extraction is additionally coated, together with the impression of self-motivation on written info, non-transversal and transversal text-mining recommendations and the fields of curiosity of textual content mining.

Contents:

1. recognition: an old and present subject of Study.
2. Self-motivation on a regular Basis.
3. The concept of Need.
4. The types 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. speculation and keep watch over of Cognitive Self-Motivation.
11. A version of Self-Motivation which affiliates Language and Physiology.
12. effect of Self-Motivation on Written Information.
13. Non-Transversal textual content Mining Techniques.
14. Transversal textual content Mining Techniques.
15. Fields of curiosity for textual content Mining.

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Extra info for Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)

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In addition, [ECC 98] cited Matsumoto and Sanders [MAT 88] for proof to suggest that high levels of characteristics related to intrinsic motivation facilitate positive emotional experiences. As we saw briefly above, distance learners often suffer from a lack of positive emotions. It is assumed that this is partly due to a lack of motivation. Different sorts of self-confidence can affect a learner’s attributional motivation. A learner may have expectations of a result before engaging in an activity.

Weiner [WEI 85] classified attributions using three dimensions: the locus of control, the stability and the controlability. The locus of control, also known as the locus of causality – a term of attribution for autonomy in the sense of [RYA 00], is a dimension which may be internal or external depending on whether or not the success is attributed to internal causes (which depends on the learner). The stability dimension determines whether the causes change over the course of time or 40 Knowledge Needs and Information Extraction not.

By observing whether certain Theories of Motivation in Psychology 43 actions work or not, individuals eventually construct conceptions of new forms of behaviors and adopt them at the correct time. In cognitive social theory, learning from the effects of action is a particular case of observational learning. In learning based on direct experience, individuals imagine conceptions of behavior based on observation of the effects of their actions; in model-based learning, they derive the conceptions based on observation of the behavioral structure, which is modeled.

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