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Towards a Taxonomy of Task-Oriented Domains of Dialogue

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PRIMA 2015: Principles and Practice of Multi-Agent Systems (PRIMA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9387))

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Abstract

To deal with a broad spectrum of domains, intelligent agents have to generate their own task-oriented dialogue that stems from the need to interact with another agent when solving their own individual task. Most work created to date has either been focused on the task or on the dialogue, but not on both. A taxonomy that describes how the characteristics of a domain determine the types of dialogue needed would be useful, both for understanding how to create agents that are more adaptable to different domains, and also to facilitate reusing previous work. In this paper, we present a number of dimensions that could be included in such a taxonomy, and illustrate how they could be used to determine the nature of dialogue needed in a particular type of domain.

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Author information

Authors and Affiliations

  1. School of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK

    Tânia Marques

Authors
  1. Tânia Marques
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Correspondence to Tânia Marques .

Editor information

Editors and Affiliations

  1. Jinan University, Guangzhou, China

    Qingliang Chen

  2. Università di Bologna, Bologna, Italy

    Paolo Torroni

  3. Inria - Sophia Antipolis-Méditerran, Sophia Antipolis, France

    Serena Villata

  4. National Taiwan University, Taipei, Taiwan

    Jane Hsu

  5. Università di Bologna, Bologna, Italy

    Andrea Omicini

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Marques, T. (2015). Towards a Taxonomy of Task-Oriented Domains of Dialogue. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_33

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  • DOI: https://doi.org/10.1007/978-3-319-25524-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25523-1

  • Online ISBN: 978-3-319-25524-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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