  In this paper, we propose the beginnings of a formal framework for modeling
narrative \textit{qua} narrative. Our framework affords the ability to discuss
key qualities of stories and their communication, including the flow of
information from a Narrator to a Reader, the evolution of a Reader's story
model over time, and Reader uncertainty. We demonstrate its applicability to
computational narratology by giving explicit algorithms for measuring the
accuracy with which information was conveyed to the Reader and two novel
measurements of story coherence.
