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DC Field | Value | Language |
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dc.contributor.author | Gravina, Daniele | - |
dc.contributor.author | Liapis, Antonios | - |
dc.contributor.author | Yannakakis, Georgios N. | - |
dc.date.accessioned | 2018-05-09T07:41:51Z | - |
dc.date.available | 2018-05-09T07:41:51Z | - |
dc.date.issued | 2016-09 | - |
dc.identifier.citation | Gravina, D., Liapis, A., & Yannakakis, G. N. (2016). Constrained surprise search for content generation. IEEE Conference on Computational Intelligence and Games (CIG), 2016, Santorini. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/29882 | - |
dc.description.abstract | In procedural content generation, it is often desirable to create artifacts which not only fulfill certain playability constraints but are also able to surprise the player with unexpected potential uses. This paper applies a divergent evolutionary search method based on surprise to the constrained problem of generating balanced and efficient sets of weapons for the Unreal Tournament III shooter game. The proposed constrained surprise search algorithm ensures that pairs of weapons are sufficiently balanced and effective while also rewarding unexpected uses of these weapons during game simulations with artificial agents. Results in the paper demonstrate that searching for surprise can create functionally diverse weapons which require new gameplay patterns of weapon use in the game. | en_GB |
dc.description.sponsorship | This work has been supported, in part, by the FP7 Marie Curie CIG project AutoGameDesign (project no: 630665) and the Horizon 2020 project CrossCult (project no: 693150). | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Computer games -- Surprise | en_GB |
dc.subject | Computer games -- Design | en_GB |
dc.subject | Genetic algorithms | en_GB |
dc.title | Constrained surprise search for content generation | 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 | IEEE Conference on Computational Intelligence and Games (CIG), 2016 | en_GB |
dc.bibliographicCitation.conferenceplace | Santorini, Greece, 20-23/09/2016 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/CIG.2016.7860408 | - |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Constrained_surprise_search_for_content_generation_2016.pdf | 1.61 MB | Adobe PDF | View/Open |
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