Knowledge Needs and Information Extraction Knowledge Needs and Information Extraction

Knowledge Needs and Information Extraction

Towards an Artificial Consciousness

    • $279.99
    • $279.99

Publisher Description

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.

GENRE
Computing & Internet
RELEASED
2013
5 February
LANGUAGE
EN
English
LENGTH
288
Pages
PUBLISHER
Wiley
SELLER
John Wiley & Sons Australia, Ltd
SIZE
2.3
MB
Human-Machine Shared Contexts Human-Machine Shared Contexts
2020
Big Data Big Data
2020
Computers, Communication, and Mental Models Computers, Communication, and Mental Models
2020
The Natural Language for Artificial Intelligence The Natural Language for Artificial Intelligence
2021
Information Studies and the Quest for Transdisciplinarity Information Studies and the Quest for Transdisciplinarity
2017
Information Systems for Knowledge Management Information Systems for Knowledge Management
2014