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dc.date.accessioned 2017-12-05T17:47:17Z
dc.date.available 2017-12-05T17:47:17Z
dc.date.issued 2017-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/63945
dc.description.abstract 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. en
dc.format.extent 257-264 es
dc.language en es
dc.subject Lógica Difusa es
dc.subject Inteligencia Artificial es
dc.title Applying fuzziness to enemy behavior in a serious game en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1539-9 es
sedici.creator.person Zapirain, Esteban es
sedici.creator.person Massa, Stella Maris es
sedici.description.note XVI Workshop Tecnología Informática Aplicada en Educación (WTIAE). es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2017-10
sedici.relation.event XXIII Congreso Argentino de Ciencias de la Computación (La Plata, 2017). es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)