Application of genetic algorithms and swarm behaviors for the development of npc's in video games
Metadata
Show full item recordcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71324
comunitat-uji-handle3:10234/169451
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TFG-TFMMetadata
Title
Application of genetic algorithms and swarm behaviors for the development of npc's in video gamesAuthor (s)
Tutor/Supervisor; University.Department
García Fernández, Luis Amable; Universitat Jaume I. Departament d'Enginyeria i Ciència dels ComputadorsDate
2020-06-10Publisher
Universitat Jaume IAbstract
This document presents the project report of the Video Games Design and Development
Degree Final project by Jon Hodei Martínez Soto. It is a videogame titled Zombies Are
Dumb that consists on exploring how to include ... [+]
This document presents the project report of the Video Games Design and Development
Degree Final project by Jon Hodei Martínez Soto. It is a videogame titled Zombies Are
Dumb that consists on exploring how to include genetic algorithms applied to a group of
agents with the objective of being able to learn the player patterns and adapt to them.
This will create a greater challenge considering that the AI will change its behavior
depending on how the player plays.
Besides, the project also integrate swarm behaviors to create a sense of group and
coordination between the agents. These two main ideas will cause an unpredictable
playing environment for the player and, therefore, an unique and different experience
each time. [-]
Subject
Description
Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2019/2020
Type
info:eu-repo/semantics/bachelorThesisRights
info:eu-repo/semantics/openAccess
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