Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22970
Title: | Towards automatic personalized content generation for platform games |
Authors: | Shaker, Noor Yannakakis, Georgios N. Togelius, Julian |
Keywords: | Computer games -- Design and construction Level design (Computer science) |
Issue Date: | 2010 |
Publisher: | ACM Publications |
Citation: | Shaker, N., Yannakakis, G. N., & Togelius, J. (2010). Towards automatic personalized content generation for platform games. Sixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford. 63-68. |
Abstract: | In this paper, we show that personalized levels can be automatically generated for platform games. We build on previous work, where models were derived that predicted player experience based on features of level design and on playing styles. These models are constructed using preference learning, based on questionnaires administered to players after playing different levels. The contributions of the current paper are (1) more accurate models based on a much larger data set; (2) a mechanism for adapting level design parameters to given players and playing style; (3) evaluation of this adaptation mechanism using both algorithmic and human players. The results indicate that the adaptation mechanism effectively optimizes level design parameters for particular players. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22970 |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Towards_Automatic_Personalized_Content_Generation_.pdf | 223.23 kB | Adobe PDF | View/Open |
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