Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach
By hybridizing Evolutionary Programming (EP) with Interactive Evolutionary Algorithm (IEA), game rules and its playing environment will be automatically generated for an arcade-type game that can be played on the Android mobile platform. In this study, mutation rates of 0.7 and 0.9 are used to gener...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Indore : IJTEEE Inc.
2014
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| Online Access: | https://eprints.ums.edu.my/id/eprint/19039/1/Automated%20synthesis%20of%20mobile%20game%20environments%20and%20rulesets.pdf |
| _version_ | 1796909792000737280 |
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| author | Jia, Hui Ong Teo, Jason Tze Wi |
| author_facet | Jia, Hui Ong Teo, Jason Tze Wi |
| author_sort | Jia, Hui Ong |
| collection | UMS |
| description | By hybridizing Evolutionary Programming (EP) with Interactive Evolutionary Algorithm (IEA), game rules and its playing environment will be automatically generated for an arcade-type game that can be played on the Android mobile platform. In this study, mutation rates of 0.7 and 0.9 are used to generate both the game rules and the game environment for the mobile game. Players are used as the evaluator instead of the conventional mathematical fitness functions and hence the motivation for using high mutation rate is that they are able to generate higher levels of diversity during the optimization runs. This interactive mode of game-playing cum evaluation will enable the creation of games that can fit the user’s preferences as well as styles of game-playing. Experiments show a very positive result where very good evaluation scores were obtained from the users. This shows that with a high mutation rate, the hybridized EP with IEA approach can generate rules and environments that are well-accepted and liked by human players. |
| first_indexed | 2024-03-06T02:54:51Z |
| format | Article |
| id | ums.eprints-19039 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T02:54:51Z |
| publishDate | 2014 |
| publisher | Indore : IJTEEE Inc. |
| record_format | dspace |
| spelling | ums.eprints-190392018-03-01T08:28:08Z https://eprints.ums.edu.my/id/eprint/19039/ Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach Jia, Hui Ong Teo, Jason Tze Wi By hybridizing Evolutionary Programming (EP) with Interactive Evolutionary Algorithm (IEA), game rules and its playing environment will be automatically generated for an arcade-type game that can be played on the Android mobile platform. In this study, mutation rates of 0.7 and 0.9 are used to generate both the game rules and the game environment for the mobile game. Players are used as the evaluator instead of the conventional mathematical fitness functions and hence the motivation for using high mutation rate is that they are able to generate higher levels of diversity during the optimization runs. This interactive mode of game-playing cum evaluation will enable the creation of games that can fit the user’s preferences as well as styles of game-playing. Experiments show a very positive result where very good evaluation scores were obtained from the users. This shows that with a high mutation rate, the hybridized EP with IEA approach can generate rules and environments that are well-accepted and liked by human players. Indore : IJTEEE Inc. 2014 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/19039/1/Automated%20synthesis%20of%20mobile%20game%20environments%20and%20rulesets.pdf Jia, Hui Ong and Teo, Jason Tze Wi (2014) Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach. International Journal of Technology Enhancements and Emerging Engineering Research, 2 (6). pp. 39-44. ISSN 2347-4289 https://pdfs.semanticscholar.org/1e6d/4999cb3c8a837c4600ebc9dbae8861cc215b.pdf |
| spellingShingle | Jia, Hui Ong Teo, Jason Tze Wi Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| title | Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| title_full | Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| title_fullStr | Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| title_full_unstemmed | Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| title_short | Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| title_sort | automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach |
| url | https://eprints.ums.edu.my/id/eprint/19039/1/Automated%20synthesis%20of%20mobile%20game%20environments%20and%20rulesets.pdf |
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