Conversation Quantization as a Foundation of Conversational Intelligence

  • Toyoaki Nishida
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7813)

Abstract

The long term goal of this research is to build artificial conversational intelligence that can set up or participate in the fluent conversational interactions as good as people in order to benefit each other. This paper discusses conversation quanta as a foundation of conversational intelligence. In contrast to conversational systems for which much emphasis has been placed on the symbolic processing and algorithms, our approach is data-intensive, allowing for the conversational system to acquire the depth and proficiency in interaction in an incremental fashion, in addition to the broad coverage and robustness.

Keywords

Conversational Intelligence Conversational Informatics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Toyoaki Nishida
    • 1
  1. 1.Graduate School of InformaticsKyoto UniversitySakyo-kuJapan

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