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DC Field | Value | Language |
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dc.contributor.author | Cerny Green, Michael | - |
dc.contributor.author | Khalifa, Ahmed | - |
dc.contributor.author | Bontrager, Philip | - |
dc.contributor.author | Canaan, Rodrigo | - |
dc.contributor.author | Togelius, Julian | - |
dc.date.accessioned | 2021-10-13T13:00:42Z | - |
dc.date.available | 2021-10-13T13:00:42Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Cerny Green, M., Khalifa, A., Bontrager, P., Canaan, R., & Togelius, J. (2021). Game mechanic alignment theory and discovery. FDG '21: International Conference on the Foundations of Digital Games, Montreal. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/82084 | - |
dc.description.abstract | We present a new concept called Game Mechanic Alignment theory as a way to organize game mechanics through the lens of systemic rewards and agential motivations. By disentangling player and systemic influences, mechanics may be better identified for use in an automated tutorial generation system, which could tailor tutorials for a particular playstyle or player. Within, we apply this theory to several well-known games to demonstrate how designers can benefit from it, we describe a methodology for how to estimate "mechanic alignment", and we apply this methodology on multiple games in the GVGAI framework. We discuss how effectively this estimation captures agential motivations and systemic rewards and how our theory could be used as an alternative way to find mechanics for tutorial generation. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Association for Computing Machinery | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Computer games -- Design | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.subject | Nonparametric statistics | en_GB |
dc.subject | Intelligent tutoring systems | en_GB |
dc.title | Game mechanic alignment theory and discovery | 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 '21: International Conference on the Foundations of Digital Games | en_GB |
dc.bibliographicCitation.conferenceplace | Montreal, Canada, 03-06/08/2021 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1145/1122445.1122456 | - |
Appears in Collections: | Scholarly Works - InsDG |
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File | Description | Size | Format | |
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Game_mechanic_alignment_theory_and_discovery_2021.pdf Restricted Access | 1.01 MB | Adobe PDF | View/Open Request a copy |
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