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.
Guglielmo Pescatore, Veronica Innocenti, Paola Brembilla (2014). Selection and evolution in narrative ecosystems. A theoretical framework for narrative prediction. IEEE Computer Society [10.1109/ICMEW.2014.6890658].
Selection and evolution in narrative ecosystems. A theoretical framework for narrative prediction
PESCATORE, GUGLIELMO;INNOCENTI, VERONICA;BREMBILLA, PAOLA
2014
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.