An integrated system for interactive continuous learning of categorical knowledge

Skočaj, Danijel and Vrečko, Alen and Mahnič, Marko and Janíček, Miroslav and Kruijff, Geert-Jan and Hanheide, Marc and Hawes, Nick and Wyatt, Jeremy and Keller, Thomas and Zhou, Kai and Zillich, Michael and Kristan, Matej. (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/45224/

Downloads: Statistics Overview


This article presents an integrated robot system capable of interactive learning in dialogue with a human. Such a system needs to have several competencies and must be able to process different types of representations. In this article, we describe a collection of mechanisms that enable integration of heterogeneous competencies in a principled way. Central to our design is the creation of beliefs from visual and linguistic information, and the use of these beliefs for planning system behaviour to satisfy internal drives. The system is able to detect gaps in its knowledge and to plan and execute actions that provide information needed to fill these gaps. We propose a hierarchy of mechanisms which are capable of engaging in different kinds of learning interactions, e.g. those initiated by a tutor or by the system itself. We present the theory these mechanisms are build upon and an instantiation of this theory in the form of an integrated robot system. We demonstrate the operation of the system in the case of learning conceptual models of objects and their visual properties.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Artificial Intelligence (Helmert)
UniBasel Contributors:Keller, Thomas
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Taylor & Francis
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:04 Oct 2017 13:59
Deposited On:04 Oct 2017 13:59

Repository Staff Only: item control page