Seminaire: INFOLINGU, Nicolas TURENNE, INRA, lundi 28 janvier 2013

[Thierry Hamon]

Date: Tue, 4 Dec 2012 16:17:57 +0100
From: Myriam RAKHO <rakho at univ-mlv.fr>
Message-ID: <CAOY-Mwvwc_V44hLFbUPASd2B8rEXA_Vee5Z3=v1ZVx8MxpLJSg at mail.gmail.com>

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INFOLINGU
 Le séminaire de l'équipe Informatique Linguistique
 du Laboratoire d'Informatique de l'Institut Gaspard Monge (LIGM)
 Université Paris-Est Marne-la-Vallée

Date : *Le lundi 28 janvier 2013 à 10h30*

Lieu : Université Paris-Est Marne-la-Vallée
Bâtiment Copernic, 4ème étage, salle de séminaires 4B08R

Toute personne intéressée est la bienvenue
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*** INTERVENANT ***

*Nicolas TURENNE, INRA*

*** TITRE ***

Présentation d'un nouveau livre intitulé :
"Knowledge Needs and Information Extraction: Towards an Artificial
Consciousness"

Le livre est disponible à cette adresse :
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1848215150,descCd-description.html

*** RÉSUMÉ ***

Amongst the big questions about humanity from “Who am I?” to “Where am
I”, there is the subject of consciousness relayed by philosophy and
theology at first and then by biology, psychology, sociology and more
recently by cognitive sciences.  This book attempts to reconcile these
disciplines through the common denominator of consciousness, but on one
of its specific aspect. The book presents a concept of-motivation of
field of activity, as a biological motor of a state of consciousness,
and of which system informatics enables to reveal its existence. If
consciousness is not well defined, a limited frame provides a more
precise and observable definition despite the context complexity of the
individuals: psychological, social and technical.  These observable
elements are of two nature: a nature of principal activity and a
cognitive-linguistic nature, which are adapted with extrinsic and
intrinsic control factors.  The argument presented here consists in
presenting a state of consciousness as related to the concept of
instinctive (therefore physiological) information need, and whose
carrier traces on the traditional information channels, i.e. letters and
subscriptions and on the modern information channels, i.e. text messages
and web pages, can be analyzed via knowledge extraction.

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