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Story Characterization Using Interactive Evolution in a Multi-Agent System

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Book cover Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7834))

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.

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Nairat, M., Dahlstedt, P., Nordahl, M.G. (2013). Story Characterization Using Interactive Evolution in a Multi-Agent System. In: Machado, P., McDermott, J., Carballal, A. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2013. Lecture Notes in Computer Science, vol 7834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36955-1_15

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  • DOI: https://doi.org/10.1007/978-3-642-36955-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36954-4

  • Online ISBN: 978-3-642-36955-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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