Abstract—Narrative ability is an essential element of human
intelligence from the perspectives of both psychology and
artificial intelligence (AI). It includes many intellectual
functions: narrative generation, narrative understanding or
interpretation, narrative-mediated communication, and the
manipulation of narrativity-based knowledge. The
computational modeling of narrative ability is a critical problem
in the development of human-like AI agents and user-friendly
intelligent information systems. However, implementing this
model involves many difficult challenges owing to the structural
and phenomenal complexity of narratives. The broader purpose
of this study is to develop a computational model of narrative
ability from an AI perspective. In this study, we explore the
formulation of a conceptual framework of computational
narrative ability including a narrativity-based knowledge model
and operational modules for this knowledge model.
Index Terms—Artificial intelligence, computational narrative
ability, narrative agent, story-form knowledge.
T. Akimoto is with the Graduate School of Informatics and Engineering,
the University of Electro-Communications, Tokyo, Japan (e-mail:
t8akimo@yahoo.co.jp).
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Cite: Taisuke Akimoto, "Exploratory Approach to the Computational Modeling of Narrative Ability for Artificial Intelligence," International Journal of Knowledge Engineering vol. 2, no. 4, pp. 170-176, 2016.
