• DocumentCode
    106178
  • Title

    Skald: Minstrel Reconstructed

  • Author

    Tearse, Brandon ; Mawhorter, Peter ; Mateas, Michael ; Wardrip-Fruin, Noah

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California Santa Cruz, Santa Cruz, CA, USA
  • Volume
    6
  • Issue
    2
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    156
  • Lastpage
    165
  • Abstract
    Scott Turner´s Minstrel is considered a landmark story-generation system, cited as an important system in our field´s history for the quality of its output. Other influential systems such as Meehan´s Tale-Spin have inspired modern successors, but although a few systems have followed Minstrel´s case-based approach, none of them use its “imaginative recall” technique. This paper details Skald, a publicly-released rational reconstruction of Minstrel that enables exploration of Turner´s work and discovery of new implications for future research. A key finding is a brittleness only hinted at in Turner´s publications: the story library, story templates, and the recall system must be tailored to one another for Turner´s original system to function. We show that this can be ameliorated through a number of techniques, however, from adding differential costs to transformations to removing the least-successful author-level actions. Another key finding is that Turner´s original “boredom” system limited leverage of the story library. An alternative and its results are presented here. What emerges from this work is a different picture of the original Minstrel than that currently present in the literature, as well as a new system, Skald, that sets the stage for future research to explore Turner´s ideas for story generation.
  • Keywords
    artificial intelligence; knowledge based systems; literature; public domain software; Minstrel; Skald; boredom system; case-based approach; imaginative recall technique; publicly-released rational reconstruction; story library; story templates; story-generation system; Cognition; Computational modeling; Ethics; Generators; Image reconstruction; Libraries; Planning; Artificial intelligence; knowledge-based systems; open source software;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence and AI in Games, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1943-068X
  • Type

    jour

  • DOI
    10.1109/TCIAIG.2013.2292313
  • Filename
    6672047