


More recently, the number of systems developed has increased significantly. Research on storytelling systems (computational systems capable of telling a story) has experienced considerable growth over the years. This is important because it sets the context for evaluation of generated stories, for which having a surface realization as a readable and appealing text is not necessarily a core issue. The underlying concept of “story” in SGAs is functional and does not imply any aesthetic notion. In the present context, the desired output is a story. An algorithm is understood as a set of instructions that, when applied to a given input, produces an output. In the field of Artificial Intelligence (AI), the automated generation of stories has been a subject of research for over fifty years. The term story generator algorithms (SGAs) refers to computational procedures resulting in an artifact that can be considered a story.
