A Conventional Dialogue Model Based on Empirically Specified Dialogue Games

Our work aims at designing a dialogue manager dedicated to agents that interact with humans. In this article, we show how empirically specified dialogue games can be employed on both interpretative and generative levels of dialogue management. We present DOGMA, an open-source module that can be used by an agent to manage its conventional communicative behaviour. We show that our library of dialogue games can be used into DOGMA to generate fragments of dialogue that are strongly coherent from a human perspective.