Titre : Context-based Assistant Systems: First Results 

Auteurs : Patrick Brézillon,  

Revue : Modeling and Using Context 

Numéro : CONTEXT-21 Special Issue 

Volume : 4 

Date : 2021/07/1 

DOI : 10.21494/ISTE.OP.2021.0686 

ISSN : 2514-5711 

Résumé : The evolution of AI systems from expert systems, knowledge-based systems, joint cognitive systems, intelligent systems, intelligent assistant systems (IASs) and the coming generation of Context-based IASs (CIASs). CIASs require a deep focus on context and its relations with the users, the task at hand, the situation and the environment in which the task is accomplished by the user; the observation of users through their action and behaviors and not a profile library; a robust conceptual framework for modeling and managing context; and a computational tool for representing in a uniform way pieces of knowledge, of reasoning and of contexts. 

Éditeur : ISTE OpenScience