Approaches for Dialog Management in Conversational Agents

Journal article (2019)

Authors

P. Kucherbaev Web Information Systems - EEMCS
A. Bozzon Human-Centred Artificial Intelligence - IDE , Web Information Systems - EEMCS
G.J.P.M. Houben Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2019 Jan-Gerrit Harms, P. Kucherbaev, A. Bozzon, G.J.P.M. Houben
DOI: https://doi.org/10.1109/MIC.2018.2881519
Internet Autonomous agents Task Analysis Probabilistic logic Software agents Natural languages
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Published Date

2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

Abstract

Dialog agents, like digital assistants and automated chat interfaces (e.g., chatbots), are becoming more and more popular as users adapt to conversing with their devices as they do with humans. In this paper, we present approaches and available tools for dialog management (DM), a component of dialog agents that handles dialog context and decides the next action for the agent to take. In this paper, we establish an overview of the field of DM, compare approaches and state-of-the-art tools in industry and research work on a set of dimensions, and identify directions for further research work.