Evolving story and character generation for role-playing games

Khan, U. and Yoshihiro Okada 2011. Evolving story and character generation for role-playing games. SA '12: SIGGRAPH Asia 2012. Singapore 26 - 27 Nov 2012 ACM. https://doi.org/10.1145/2425296.242530

TitleEvolving story and character generation for role-playing games
AuthorsKhan, U. and Yoshihiro Okada
TypeConference paper
Abstract

In this paper the authors present a new approach by which a random story with random characters can be generated by the use of Genetic Algorithms. Stories are a collection of several tasks done by the characters in a certain sequence. If every task is taken as an independent entity, random distribution of these tasks can create a new story. We can then use Genetic Algorithms to create the characters required by those stories. Through user interaction, we can dictate what kind of characters and stories should be created and the computer slowly converges to creating stories according to the users liking. With the implementation of this methodology, we can ensure that no two plays of the same game should give the user the same experience. With user input we can ensure that the Genetic Algorithm learns with every play-through thus creating stories and characters that are more according to the liking of the user.

Year2011
ConferenceSA '12: SIGGRAPH Asia 2012
PublisherACM
Publication dates
Published26 Nov 2012
Journal citationpp. 59-64
Book titleWASA '12: Proceedings of the Workshop at SIGGRAPH Asia
ISBN9781450318358
Digital Object Identifier (DOI)https://doi.org/10.1145/2425296.242530

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