• DocumentCode
    3442173
  • Title

    Macro structure and basic methods in the integrated narrative generation system by introducing narratological knowledge

  • Author

    Akimoto, Taisuke ; Ogata, Takashi

  • Author_Institution
    Iwate Prefectural Univ., Iwate, Japan
  • fYear
    2012
  • fDate
    22-24 Aug. 2012
  • Firstpage
    253
  • Lastpage
    262
  • Abstract
    This paper proposes the comprehensive architecture of an integrated narrative generation system to discuss main two methods which are the foundations for integrating a variety of modules or elements and show a preliminary version utilizing our existing programs directly for seeing the picture of the integrated system. After we propose the macro structure of the proposed integrated system, we describe two fundamental methods to generate narrative structures and controlling the execution. And we show a pilot or preliminary version for the system developed by a kind of “bricolage” of existing programs corresponding to each module in the narrative generation process. Last, we discuss some issues for building the next version of the integrated narrative generation system. Moreover, this architecture is also differentiated from other many systems and approaches in the interdisciplinary concept of AI and narratology.
  • Keywords
    information networks; literature; natural language processing; bricolage; integrated narrative generation system; macro structure; narrative generation process; narratological knowledge; narratology; Abstracts; Artificial intelligence; Computer architecture; Computers; Grammar; Media; Process control; Integrated narrative generation system; control mechanism; narrative structure; narrative technique; narratology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2012 IEEE 11th International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4673-2794-7
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2012.6311156
  • Filename
    6311156