Story Generator Algorithms

On the narratological relevance of theories, models and applications for the automatic generation of narratives

This research project on Story Generator Algorithms focuses on the possibility to integrate computational approaches in the analysis and modelling of narrative functions. It investigates the narratological relevance of theories, models and implementations of programs that generate narrative. Through a mutual mapping of narratological and Artificial Intelligence approaches onto each other, it discloses their respective strengths and weaknesses.

The ultimate goal of the project team is to define a model of a creative Story Generator Algorithm that will be 'ideal' from a narratological viewpoint, without anyway disregarding implementability issues.

The Story Generator Algorithms project is a sub-project of the Hamburg Narratology Research Group, now ICN, co-funded by DFG and the University of Hamburg.