Story characterization using interactive evolution in a multi-agent system

Authors:
Malik Nairat;Palle Dahlstedt;Mats G. Nordahl
Affiliations:
Department of Applied Information Technology, University of Gothenburg, Gothenburg, Sweden;Department of Applied Information Technology, University of Gothenburg, Gothenburg, Sweden;Department of Applied Information Technology, University of Gothenburg, Gothenburg, Sweden
Venue:
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Year:
2013

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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.