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DC Field | Value | Language |
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dc.contributor.author | Charity, Megan | - |
dc.contributor.author | Cerny Green, Michael | - |
dc.contributor.author | Khalifa, Ahmed | - |
dc.contributor.author | Togelius, Julian | - |
dc.date.accessioned | 2021-10-12T08:28:23Z | - |
dc.date.available | 2021-10-12T08:28:23Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Charity, M., Cerny Green, M., Khalifa, A., & Togelius, J. (2020). Mech-Elites : illuminating the mechanic space of GVG-AI. FDG '20: International Conference on the Foundations of Digital Games, Bugibba. | en_GB |
dc.identifier.isbn | 9781450388078 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/82014 | - |
dc.description.abstract | This paper introduces a fully automatic method of mechanic illumination for general video game level generation. Using the Constrained MAP-Elites algorithm and the GVG-AI framework, this system generates the simplest tile based levels that contain specific sets of game mechanics and also satisfy playability constraints. We apply this method to illuminate the mechanic space for four different games in GVG-AI: Zelda, Solarfox, Plants, and RealPortals. With this system, we can generate playable levels that contain different combinations of most of the possible mechanics. These levels can later be used to populate game tutorials that teach players how to use the mechanics of the game. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Association for Computing Machinery | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Computer games -- Design | en_GB |
dc.subject | Level design (Computer science) | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.subject | Machine learning | en_GB |
dc.title | Mech-Elites : illuminating the mechanic space of GVG-AI | 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 | FDG '20: International Conference on the Foundations of Digital Games | en_GB |
dc.bibliographicCitation.conferenceplace | Bugibba, Malta, 15-18/09/2020 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1145/3402942.3402954 | - |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Mech-Elites_illuminating_the_mechanic_space_of_GVG-AI_2020.pdf | 832.46 kB | Adobe PDF | View/Open |
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