Evolutionary combination of connected event schemas into meaningful plots

Many of the stories we are exposed to are built from small schemas of connected events involving a set of characters– boy meets girl leads to a relationship or crime leads to revenge . The present paper proposes an evolutionary solution to the task of putting together a story by combining a set of s...

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Bibliographic Details
Published inGenetic programming and evolvable machines Vol. 24; no. 1
Main Authors Gervás, Pablo, Méndez, Gonzalo, Concepción, Eugenio
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2023
Springer Nature B.V
Subjects
Artificial Intelligence
Biomedical Engineering and Bioengineering
Compatibility
Compilers
Computer Science
Electrical Engineering
Evolution
Interpreters
Programming Languages
Programming Techniques
Representations
Software Engineering/Programming and Operating Systems
Story generation
Subplot patterns
Character instantiation
Evolutionary approach
Metrics on pattern compatibility
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Summary:Many of the stories we are exposed to are built from small schemas of connected events involving a set of characters– boy meets girl leads to a relationship or crime leads to revenge . The present paper proposes an evolutionary solution to the task of putting together a story by combining a set of such schemas. This approach presents three challenges: how to mix up the elements in the different schemas, how to instantiate the characters across the schemas and how to tell acceptable combinations from the rest. The present paper applies an evolutionary solution that relies on a genetic representation for these combinations of schemas, and applies as fitness functions a set of metrics on compatibility constraints across schema combinations. Outputs of this procedure are evaluated by human judges in comparison with baseline solutions in which the values for genes are assigned at random. The proposed solution generates a population of story drafts that resemble plot descriptions for simple stories. The results of the comparative evaluation by human judges are positive. The genetic representation of pattern combinations and the metrics on compatibility across pattern pairs provide a valid evolutionary solution for constructing simple plots.
ISSN:1389-2576
1573-7632
DOI:10.1007/s10710-023-09454-2