A multi-agent framework for a hybrid dialog management system

Authors:
Stefan Schwärzler;Joachim Schenk;Günther Ruske;Frank Wallhoff
Affiliations:
Institute for Human-Machine Communication, Technische Universität München, Germany;Institute for Human-Machine Communication, Technische Universität München, Germany;Institute for Human-Machine Communication, Technische Universität München, Germany;Institute for Human-Machine Communication, Technische Universität München, Germany
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 3
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Abstract

The importance of dialog management systems has increased in recent years. Dialog systems are created for domain specific applications, so that a high demand for a flexible dialog system framework arises. There are two basic approaches for dialog management systems: a rule-based approach and a statistic approach. In this paper, we combine both methods and form a hybrid dialog management system in a scalable agent based framework. For deciding of the next dialog step, two independent systems are used: the Java Rule Engine (JESS) as expert system for rule-based solutions, and the Partially Observable Markov Decision Process (POMDP) as model-based solution for more complex dialog sequences. Using a speech recognizer and text-to-speech systems, the human can be guided through a dialog with approximately ten steps.