KNOWLEDGE REPRESENTATION FOR HUMAN-MACHINE INTERACTION

The paper describes a computational model that we are implementing in an experimental dialogue system. Conversation process is modelled where one participant is trying to influence his/her partner to agree to do an action. Our goal is to model natural dialogue where computer as a dialogue participant follows norms and rules of human-human communication. We have worked on different aspects of developing a model of dialogue, including its computer realisation in the lines of BDI model. The main specific traits of our model are: 1) taking into account the "naive" common-sense reasoning as the basis of dialogue, 2) modelling dialogues where the goal of the initiator is to impose the partner to do a certain action. In the paper we concentrate on the use of frames as the knowledge representation formalism in the dynamic context of dialogue. As a practical realisation of the model we have in view a computer program which we call communication trainer.