Behaviors and Layers in Spoken Dialogue Systems
نویسنده
چکیده
The classical view of artificial intelligence (AI) is tied down by a number of problems. These problems indicate that it might be fruitful to approach AI applications, including spoken dialogue systems, in an alternative way. This paper overviews current attempts to apply the idea of layered behavior-based architectures in dialogue system development. It is concluded that there are both theoretical insights and practical advantages to be made with a layered behavior-based approach to dialogue system design.
منابع مشابه
A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how individual users changed their behaviors on the basis of long-term data, which were collected by our telephone-based spoken dialogue system deployed for the open public over 34 months. The system was repeatedly used by citizens, who...
متن کاملOn-Line Learning of a Persian Spoken Dialogue System Using Real Training Data
The first spoken dialogue system developed for the Persian language is introduced. This is a ticket reservation system with Persian ASR and NLU modules. The focus of the paper is on learning the dialogue management module. In this work, real on-line training data are used during the learning process. For on-line learning, the effect of the variations of discount factor (g) on the learning speed...
متن کاملOn-Line Learning of a Persian Spoken Dialogue System Using Real Training Data
The first spoken dialogue system developed for the Persian language is introduced. This is a ticket reservation system with Persian ASR and NLU modules. The focus of the paper is on learning the dialogue management module. In this work, real on-line training data are used during the learning process. For on-line learning, the effect of the variations of discount factor (g) on the learning speed...
متن کاملSituated dialogue coordination for spoken dialogue systems
In this paper, we present a general framework and architecture for maintaining dialogue coordination in spoken dialogue systems, in which intended behaviors and goals are incrementally performed during the course of maintaining dialogue coordination. The dialogue structure emerges as a result from interaction between user and the dialogue system. The key feature of this design for the systems i...
متن کاملCo-adaptation in Spoken Dialogue Systems
Spoken Dialogue Systems are man-machine interfaces which use speech as the medium of interaction. In recent years, dialogue optimization using reinforcement learning has evolved to be a state of the art technique. The primary focus of research in the dialogue domain is to learn some optimal policy with regard to the task description (reward function) and the user simulation being employed. Howe...
متن کامل