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
Link To Document :
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