Modelling the Socialization of Creative Agents in a Master-Apprentice Setting
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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 computation-ally creative agents being on a socially equal level, whereas our approach studies the phenomenon in the context of a social hierarchy.
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