Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns

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This paper presents work on modelling the social psychological aspect of socialization in the case of a computationally creative master-apprentice system. In each master-apprentice pair, the master, a genetic algorithm, is seen as a parent for its apprentice, which is an NMT based sequence-to-sequence model. The effect of different parenting styles on the creative output of each pair is in the focus of this study. This approach brings a novel view point to computational social creativity, which has mainly focused in the past on computationally creative agents being on a socially equal level, whereas our approach studies the phenomenon in the context of a social hierarchy.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Computational Creativity
EditorsKazjon Grace, Michael Cook, Dan Ventura, Mary Lou Maher
Number of pages8
PublisherAssociation for Computational Creativity
Publication dateJun 2019
ISBN (Electronic)978-989-54160-1-1
Publication statusPublished - Jun 2019
MoE publication typeA4 Article in conference proceedings
EventInternational Conference on Computational Creativity - THE COLLEGE OF COMPUTING AND INFORMATICS, UNC, Charlotte, United States
Duration: 17 Jun 201921 Jun 2019
Conference number: 10

Fields of Science

  • 113 Computer and information sciences

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