Towards a Computational Measure of Plot Tellability

Abstract

Measuring the quality of plot is a desirable feature for computational narrative systems.One of the notions of plot quality used in narrative theory is called tellability, which can be derived from certain structural properties, namely the types of events present and the way they are connected.These structures include not only actualized events, but also take into account virtual plans and the affective valencies of events.The present paper introduces Marie-Laure Ryan's tellability principles and suggests to computationally model them using an affective multi-agent simulation system.It discusses how such an approach implies a broader understanding of plot than commonly assumed and analysis several existing narrative systems under these considerations.Furthermore, it introduces a plot-graph formalism that allows the computational representation and analysis of the extended plot understanding.An approach to automatically generating the plot-graph is suggested in the context of the introduced multi-agent simulation system.

Character Focused Narrative Models for Computational Storytelling

“…Such graphs can be used to identify functional plot units (Lehnert 1981), and Ryan puts forward several principles-functional polyvalence, semantic opposition, symmetry and diversification-according to which plot units can interact in order to increase tellability. I suggest how to computationally approach this theory elsewhere in this book (Berov 2017b), however, a full formalization is still subject of future research in the scope of my project.…”