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.
|Title of host publication||Proceedings of the 10th International Conference on Computational Creativity|
|Editors||Kazjon Grace, Michael Cook, Dan Ventura, Mary Lou Maher|
|Number of pages||8|
|Publisher||Association for Computational Creativity|
|Publication date||Jun 2019|
|Publication status||Published - Jun 2019|
|MoE publication type||A4 Article in conference proceedings|
|Event||The 10th International Conference on Computational Creativity - THE COLLEGE OF COMPUTING AND INFORMATICS, UNC, Charlotte, United States|
Duration: 17 Jun 2019 → 21 Jun 2019
Fields of Science
- 113 Computer and information sciences
Hämäläinen, M., & Alnajjar, K. (2019). Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns. In K. Grace, M. Cook, D. Ventura, & M. L. Maher (Eds.), Proceedings of the 10th International Conference on Computational Creativity (pp. 266-273). Association for Computational Creativity.