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We present here a research work which is
integrated in the VVU project (Ubiquitous
Virtual Seller) initiated by PICOM (the competitivity institute on Trading Industries). This project aims at ameliorating the integration of a conversational agent in commercial trading websites in order to improve their transformation ratio (sales/visitors). For this purpose, we provide a conversational agent which is able to reason and to decide in order to make offers. We propose an argumentation-based mechanism for decision making and for interacting with the user through natural language. We aim at developing, implementing, evaluating and validating our approach through software prototypes. These
prototypes will be evaluated by the non-academic partners of the project.