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DC Field | Value | Language |
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dc.contributor.author | Liapis, Antonios | - |
dc.contributor.author | Yannakakis, Georgios N. | - |
dc.contributor.author | Togelius, Julian | - |
dc.date.accessioned | 2017-10-24T08:01:57Z | - |
dc.date.available | 2017-10-24T08:01:57Z | - |
dc.date.issued | 2011 | - |
dc.identifier.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. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/22944 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | ACM Publications | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Computer games | en_GB |
dc.subject | Level design (Computer science) | en_GB |
dc.subject | Human-computer interaction | en_GB |
dc.title | Optimizing visual properties of game content through neuroevolution | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | en_GB |
dc.bibliographicCitation.conferenceplace | Stanford, United States, 10-14/10/2011 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
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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