Integrating a Discourse Model with a Learning Case-Based Reasoning System
Linköping University, Department of Computer and Information Science, CASL - Cognitive Autonomous Systems Laboratory
Linköping University, The Institute of Technology
Conference paper (Refereed)
Proceedings of the 9th workshop on the semantics and pragmatics of dialogue (SemDial)
We present a discourse model integrated with a case-based reasoning dialogue system which learns from experience. The discourse model is capable of solving references, manage subdialogues and respect the current topic in a dialogue in natural language. The framework is flexible enough not to disturb the learning functions, but allows dynamic changes to a large extent. The system is tested in a traffic surveillance domain together with a simulated UAV and is found to be robust and reliable.