A multi-agent framework for a hybrid dialog management system

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A multi-agent framework for a hybrid dialog management system
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.
Stefan Schwärzler, Joachim Schenk, Günth
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Authors Stefan Schwärzler, Joachim Schenk, Günther Ruske, Frank Wallhoff
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