A MULTI-AGENT FRAMEWORK FOR A HYBRID DIALOG MANAGEMENT SYSTEM

被引：0

作者：

Schwaerzler, Stefan ^{[1
]}

Schenk, Joachim ^{[1
]}

Ruske, Guenther ^{[1
]}

Wallhoff, Frank ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Human Machine Commun, D-8000 Munich, Germany

来源：

ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年

关键词：

dialog management; hybrid framework;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

下载

页码：958 / 961

页数：4

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