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.
Original language | English |
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Article number | 8536470 |
Pages (from-to) | 13-22 |
Number of pages | 10 |
Journal | IEEE Internet Computing |
Volume | 23 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Autonomous agents
- Software agents
- Internet
- Task Analysis
- Probabilistic logic
- Natural languages