Knowledge Acquisition Modeling Through Dialogue Between Cognitive Agents

Mehdi Yousfi-Monod and Violaine Prince
Additional contact information
Mehdi Yousfi-Monod: University Montpellier 2, France
Violaine Prince: University Montpellier 2, France

International Journal of Intelligent Information Technologies (IJIIT), 2007, vol. 3, issue 1, 60-78

Abstract: This article tackles learning and communication between cognitive artificial agents. Our focus is on dialogue as the only way for agents to acquire knowledge, as it often happens in natural situations. Since this restriction has scarcely been studied in artificial intelligence (AI) until now; this research aims to provid a dialogue model devoted to knowledge acquisition. It allows two agents, in a “teacher” – “student” relationship, to exchange information with a learning incentive (on behalf of the student). The article first defines the nature of the addressed agents, the types of relation they maintain, and the structure and contents of their knowledge base. It continues by describing the different goals of learning, their realization, and the solutions provided for problems encountered by agents. A general architecture is then established and comment on the part of the theory implementation is given. The conclusion talks about the achievements carried out and the potential improvement of this work.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 4018/jiit.2007010104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:3:y:2007:i:1:p:60-78

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().