Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22944
Title: | Optimizing visual properties of game content through neuroevolution |
Authors: | Liapis, Antonios Yannakakis, Georgios N. Togelius, Julian |
Keywords: | Computer games Level design (Computer science) Human-computer interaction |
Issue Date: | 2011 |
Publisher: | ACM Publications |
Citation: | Liapis, A., Yannakakis, G. N., & Togelius, J. (2011). Optimizing visual properties of game content through neuroevolution. Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford. 152-157. |
Abstract: | This paper presents a search-based approach to generating game content that satisfies both gameplay requirements and user-expressed aesthetic criteria. Using evolutionary constraint satisfaction, we search for spaceships (for a space combat game) represented as compositional patternproducing networks. While the gameplay requirements are satisfied by ad-hoc defined constraints, the aesthetic evaluation function can also be informed by human aesthetic judgement. This is achieved using indirect interactive evolution, where an evaluation function re-weights an array of aesthetic criteria based on the choices of a human player. Early results show that we can create aesthetically diverse and interesting spaceships while retaining in-game functionality. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22944 |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Optimizing_Visual_Properties_of_Game_Content_Throu.pdf | 498.37 kB | Adobe PDF | View/Open |
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