Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
388059 | Expert Systems with Applications | 2012 | 19 Pages |
In this paper, we focus on an agent-based architecture for task-oriented dialogue management. We present our deliberation process based on optimizing the length of a dialogue in terms of its turns needed to accomplish a task. As innovative features, the manager accommodates a “lounge strategy” for passing initiative back to the user, and a two-layered structure for dialogue context representation. We show that applying the lounge strategy during a dialogue leads to improving the information exchange rate by approximately 5% compared to “common” dialogue strategies alternative. Furthermore, we present two of our dialogues and analyze them with respect to the agent description. At the end of the paper, we suggest future extensions and modifications to the architecture, and conclude.
► We developed a conversational BDI agent for collaborative tasks solving. ► Two layers are to represent the agent’s model of a dialogue. ► Lounge strategy is used to hand agent’s initiative back to the user. ► Lounge strategy shortens the dialogue with 5% in average.