Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/47474
Title: Murder mystery generation from open data
Authors: Barros, Gabriella A. B.
Liapis, Antonios
Togelius, Julian
Keywords: Computer games -- Design
Computer adventure games
Level design (Computer science)
Artificial intelligence
Issue Date: 2016
Publisher: Sony CSL
Citation: Barros, G. A. B., Liapis, A., & Togelius, J. (2016). Murder mystery generation from open data. Proceedings of the International Conference on Computational Creativity, Paris. 197-204.
Abstract: This paper describes a system for generating murder mysteries for adventure games, using associations between real-world people mined from Wikipedia articles. A game is seeded with a real-world person, and the game discovers suitable suspects for the murder of a game character instantiated from that person. Moreover, the game discovers characteristics of the suspects which can act as clues for the player to narrow down her search for the killer. The possible suspects and their characteristics are collected from Wikipedia articles and their linked data, while the best combination of suspects and characteristics for a murder mystery is found via evolutionary search. The paper includes an example murder mystery generated by the system revolving around the (hypothetical) death of a contemporary celebrity.
URI: https://www.um.edu.mt/library/oar/handle/123456789/47474
ISBN: 9782746691551
Appears in Collections:Scholarly Works - InsDG

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