The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research

  • Inna Adamivna Livytska Volodymyr Vynnychenko Central Ukrainian State Pedagogical University
Keywords: narrative models, structuralism, computational linguistics, storytelling, artificial narrative intelligence (AnI)

Abstract

ast two decades of the new millennium have witnessed a renaissance of interest to the topic of narrative in the view on language as an artificially created system of signs, expressing a feeling/perceiving and speaking subject. This paper synthesizes the growing bulk of work in linguistics and related disciplines (e.g. cognitive linguistics, literary theory, AI) commanded by the centrality of the writer/speaker/performer of the story in attempt to approach the process of world creation, by comparing narrative models of story generating programs, based on the frames and scenarios simulating sentence grammar. In this way, artificial intelligence techniques/algorithms in story generation incorporate planning/solving strategies and grammar production, rooted in narrative structuralist framework (Vladimir Propp). Subsequently, formal and structural limitations of the approach to the question of narration generation in AI disclose the conceptual key problems of artificial narrative intelligence (AnI). Considering examples of patterns in story generation programs and corresponding fiction narrative models, this paper compares computational linguistic and philological approaches to narrative construct within literary theory of story world creation.

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Published
2019-12-30
How to Cite
Livytska, I. A. (2019). The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research. Journal of Narrative and Language Studies, 7(13), 309-318. Retrieved from http://nalans.com/index.php/nalans/article/view/197
Section
Review Articles