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Creating Dialogues Using Argumentation and Social Practices

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Internet Science (INSCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10750))

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Abstract

Research in chatbots is already more than fifty years old, starting with the famous Eliza example. Although current chatbots might perform better, overall, than Eliza the basic principles used have not evolved that much. Recent advances are made through the use of massive learning on huge amounts of resources available through Internet dialogues. However, in most domains these huge corpora are not available. Another limitation is that most research is done on chatbots that are used for focused task driven dialogues. This context gives a natural focus for the dialogue and facilitates the use of simple reactive rules or frame-based approaches. In this paper, we argue that if chatbots are used in more general domains we have to make use of different types of knowledge to successfully guide the chatbot through the dialogue. We propose the use of argumentation theory and social practices as two general applicable sources of knowledge to guide conversations.

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Notes

  1. 1.

    Drools is a tool to describe expert system rules. See www.drools.org for documentation and software.

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Author information

Authors and Affiliations

  1. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

    Frank Dignum & Floris Bex

Authors
  1. Frank Dignum
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  2. Floris Bex
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Corresponding author

Correspondence to Frank Dignum .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Thessaloniki, Greece

    Sotiris Diplaris

  2. Information Technologies Institute, Thessaloniki, Greece

    Anna Satsiou

  3. SINTEF, Oslo, Norway

    Asbjørn Følstad

  4. National Center for Scientific Research, Agia Paraskevi, Greece

    Michail Vafopoulos

  5. SINTEF, Trondheim, Norway

    Thomas Vilarinho

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Dignum, F., Bex, F. (2018). Creating Dialogues Using Argumentation and Social Practices. In: Diplaris, S., Satsiou, A., Følstad, A., Vafopoulos, M., Vilarinho, T. (eds) Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10750. Springer, Cham. https://doi.org/10.1007/978-3-319-77547-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-77547-0_17

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  • Online ISBN: 978-3-319-77547-0

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