Story characterization using interactive evolution in a multi-agent system

Malik Nairat*, Palle Dahlstedt, Mats G. Nordahl

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

We propose a character generative approach that integrates human creativity based on an agent-based system where characters are developed using interactive evolution. By observing their behaviour, the author can choose the characters that he likes during an interaction process. The evolved characters can then be used to build a story outline as a foundation for generating stories. This can provide storytelling authors with tools for the creation process of characters and stories.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages12
Volume7834 LNCS
Publication date2013
Pages168-179
ISBN (Print)9783642369544
DOIs
Publication statusPublished - 2013
Externally publishedYes
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7834 LNCS
ISSN0302-9743

Keywords

  • actor
  • agent design
  • agent-based systems
  • character creation
  • characterization
  • genetic algorithms
  • storytelling

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