Knowledge Acquisition Modeling through Dialogue between Cognitive Agents

The work described in this paper tackles learning and communication between cognitive artificial agents. 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 as such in artificial intelligence (AI), until now, this research aims at providing 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 aims of learning, their realization and the solutions provided for problems encountered by agents. A general architecture is then established and a comment on an a part of the theory implementation is given. Conclusion is about the achievements carried out and the potential improvement of this work.