Applying fuzziness to enemy behavior in a serious game

Autores
Zapirain, Esteban; Massa, Stella Maris
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work presents the design and implementation of a real time fuzzy logic Mamdani-type controller for enemy artificial intelligence (AI) in a serious game. The game chosen is Power Down the Zombies, a serious game with educational purposes. A prototype of the game is coded in Javascript, and a comparison is made between the fuzzy enemy behavior and the classical, crisp one. The results of this work show the feasibility of fuzzy logic systems as a highly adequate choice for modelling human-like behaviour and decision making for an element in a videogame, with minimum processing costs.
XVI Workshop Tecnología Informática Aplicada en Educación (WTIAE).
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Lógica Difusa
Inteligencia Artificial
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/63945

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network_name_str SEDICI (UNLP)
spelling Applying fuzziness to enemy behavior in a serious gameZapirain, EstebanMassa, Stella MarisCiencias InformáticasLógica DifusaInteligencia ArtificialThis work presents the design and implementation of a real time fuzzy logic Mamdani-type controller for enemy artificial intelligence (AI) in a serious game. The game chosen is Power Down the Zombies, a serious game with educational purposes. A prototype of the game is coded in Javascript, and a comparison is made between the fuzzy enemy behavior and the classical, crisp one. The results of this work show the feasibility of fuzzy logic systems as a highly adequate choice for modelling human-like behaviour and decision making for an element in a videogame, with minimum processing costs.XVI Workshop Tecnología Informática Aplicada en Educación (WTIAE).Red de Universidades con Carreras en Informática (RedUNCI)2017-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf257-264http://sedici.unlp.edu.ar/handle/10915/63945enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1539-9info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:01:06Zoai:sedici.unlp.edu.ar:10915/63945Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:01:06.313SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Applying fuzziness to enemy behavior in a serious game
title Applying fuzziness to enemy behavior in a serious game
spellingShingle Applying fuzziness to enemy behavior in a serious game
Zapirain, Esteban
Ciencias Informáticas
Lógica Difusa
Inteligencia Artificial
title_short Applying fuzziness to enemy behavior in a serious game
title_full Applying fuzziness to enemy behavior in a serious game
title_fullStr Applying fuzziness to enemy behavior in a serious game
title_full_unstemmed Applying fuzziness to enemy behavior in a serious game
title_sort Applying fuzziness to enemy behavior in a serious game
dc.creator.none.fl_str_mv Zapirain, Esteban
Massa, Stella Maris
author Zapirain, Esteban
author_facet Zapirain, Esteban
Massa, Stella Maris
author_role author
author2 Massa, Stella Maris
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Lógica Difusa
Inteligencia Artificial
topic Ciencias Informáticas
Lógica Difusa
Inteligencia Artificial
dc.description.none.fl_txt_mv This work presents the design and implementation of a real time fuzzy logic Mamdani-type controller for enemy artificial intelligence (AI) in a serious game. The game chosen is Power Down the Zombies, a serious game with educational purposes. A prototype of the game is coded in Javascript, and a comparison is made between the fuzzy enemy behavior and the classical, crisp one. The results of this work show the feasibility of fuzzy logic systems as a highly adequate choice for modelling human-like behaviour and decision making for an element in a videogame, with minimum processing costs.
XVI Workshop Tecnología Informática Aplicada en Educación (WTIAE).
Red de Universidades con Carreras en Informática (RedUNCI)
description This work presents the design and implementation of a real time fuzzy logic Mamdani-type controller for enemy artificial intelligence (AI) in a serious game. The game chosen is Power Down the Zombies, a serious game with educational purposes. A prototype of the game is coded in Javascript, and a comparison is made between the fuzzy enemy behavior and the classical, crisp one. The results of this work show the feasibility of fuzzy logic systems as a highly adequate choice for modelling human-like behaviour and decision making for an element in a videogame, with minimum processing costs.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
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info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
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dc.language.none.fl_str_mv eng
language eng
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http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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