A Stochastic Approach to Character Growth in Automated Narrative Generation.
Josh Wade, Josiah Wong, Max Waldor, Lucas Pasqualin, Klaus P. Jantke, Rainer Knauf, Avelino J. González · Journal of International Crisis and Risk Communication Research · 2017
This paper describes the AESOP program, a modular storytelling framework that composes storyboards for stories that emphasize character development. Through a combination of modules designed to represent story elements, such as Characters, Actions, and Conditions. AESOP combines the novelty of stochastic events with the grounding of logic progression. These modules form a unique approach that synthesizes previous storytelling systems. A prototype system was built and tested in cooperation with the Fraunhofer Inst, for Digital Media Technology. Our tests experimented with the inclusion and removal of certain modules from the story origination process, and our results showed that the introduction of our modules improved the perceived quality of the generated stories over random story origination. Though the system has a number of shortcomings in terms of its details, readability, and flexibility, it makes great strides in automated story origination.