Fuzzy Logic-Based Dynamic Difficulty Adjustment for Adaptive Game Environments
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| Publicado en: | Electronics vol. 14, no. 1 (2025), p. 146 |
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| Autor principal: | |
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| Publicado: |
MDPI AG
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| Resumen: | Game players frequently seek video games that offer great replayability and unpredictable challenges, aiming to minimize anxiety and maximize fun. One of the most suitable game genres for achieving these objectives is the “shoot ’em up” genre, although it is mainly focused on experienced players. Given the latter, challenges should be balanced and adapted to player characteristics and style in an effort to strengthen their engagement with the game. In the present study, a fuzzy logic-based dynamic difficulty adjustment approach is proposed for dynamically tailoring challenges according to players’ behavior and strategies. The testbed of this approach is a shoot ’em up game where the players are faced with a challenging and adaptable opponent. The functionality of the proposed system is examined through game scenarios. The evaluation illustrates that fuzzy logic-based dynamic difficulty adjustment provides balanced challenges to players by easily defining the behavior of the game environment and opponents through a set of rules. |
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| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics14010146 |
| Fuente: | Advanced Technologies & Aerospace Database |