Title :
Selection and evolution in narrative ecosystems. A theoretical framework for narrative prediction
Author :
Pescatore, Guglielmo ; Innocenti, Veronica ; Brembilla, Paola
Author_Institution :
Univ. di Bologna, Bologna, Italy
Abstract :
The aim of this paper is to investigate audiovisual vast narratives according to a new theoretical perspective named narrative ecosystem, a paradigm that encompasses cross-disciplinary perspective on TV series studies. The narrative ecosystem model is a good response to the need for a dynamic model to represent vast narratives, accounting for the interactions of agents, changes and evolutions. What is still lacking, though, is a computational method to make forecasts in the field of TV serial narratives. Through this analysis we will present some theoretical basis drawing on ecological selection and evolution patterns that might be helpful in building a computational method of narrative prediction in our field of interest.
Keywords :
digital television; ecology; television broadcasting; TV serial narratives; TV series; agent interaction; audiovisual vast narrative; computational method; dynamic model; ecological selection; evolution pattern; narrative ecosystem model; narrative predictive model; Integrated circuits; Narrative ecosystems; characters; narrative predictive model; vast narratives. evolution;
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/ICMEW.2014.6890658