Linja: A Mobile Application Based on Minimax Strategy and Game Theory

This article presents an application of Minimax strategy and game theory to implement the Linja mobile game. This game theory strategy applies collaborative learning to determine the winner of a game between two opponents, thus determining the optimal move in complex environments. In the development...

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Autores:
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14336
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136
https://repositorio.uptc.edu.co/handle/001/14336
Palabra clave:
game theory
Linja
minimax
mobile game
optimization
juego móvil
Linja
minimax
optimización
teoría de juegos
Rights
License
http://creativecommons.org/licenses/by/4.0
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oai_identifier_str oai:repositorio.uptc.edu.co:001/14336
network_acronym_str REPOUPTC2
network_name_str RiUPTC: Repositorio Institucional UPTC
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dc.title.en-US.fl_str_mv Linja: A Mobile Application Based on Minimax Strategy and Game Theory
dc.title.es-ES.fl_str_mv Linja: Una aplicación movil basada en la estrategia Minimax y teoría de juegos
title Linja: A Mobile Application Based on Minimax Strategy and Game Theory
spellingShingle Linja: A Mobile Application Based on Minimax Strategy and Game Theory
game theory
Linja
minimax
mobile game
optimization
juego móvil
Linja
minimax
optimización
teoría de juegos
title_short Linja: A Mobile Application Based on Minimax Strategy and Game Theory
title_full Linja: A Mobile Application Based on Minimax Strategy and Game Theory
title_fullStr Linja: A Mobile Application Based on Minimax Strategy and Game Theory
title_full_unstemmed Linja: A Mobile Application Based on Minimax Strategy and Game Theory
title_sort Linja: A Mobile Application Based on Minimax Strategy and Game Theory
dc.subject.en-US.fl_str_mv game theory
Linja
minimax
mobile game
optimization
topic game theory
Linja
minimax
mobile game
optimization
juego móvil
Linja
minimax
optimización
teoría de juegos
dc.subject.es-ES.fl_str_mv juego móvil
Linja
minimax
optimización
teoría de juegos
description This article presents an application of Minimax strategy and game theory to implement the Linja mobile game. This game theory strategy applies collaborative learning to determine the winner of a game between two opponents, thus determining the optimal move in complex environments. In the development of the collaborative game, different game learning scenarios are proposed where competition between a player and the machine, and competitions against other players, intervene. In the learning process, moves are proposed that allow the maximum gain and the minimum loss among the competitors. In this case, the methodological approach was carried out towards the move that allows maximizing the profit and minimizing the loss, based on the application of the Mini/Max algorithm in search of determining the optimal solution of the game. The process is obtained from the adaptation of mathematical models for the development of games, using specialized tools that support a multi-paradigm programming language working together with the tools that the same language provides and that potentially serve as a contribution to the development of the game. In the search for an intelligent and autonomous system. The intelligent system correctly finds the winner of a game, showing the course of the game move by move. The results show that the game developed with the Minimax strategy allows automatic learning in multiuser environments, correctly identifying the winner of a game, generating the most optimal route of the game from move to move.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:12:07Z
dc.date.available.none.fl_str_mv 2024-07-05T19:12:07Z
dc.date.none.fl_str_mv 2022-03-14
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a140
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136
10.19053/01211129.v31.n59.2022.14136
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14336
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136
https://repositorio.uptc.edu.co/handle/001/14336
identifier_str_mv 10.19053/01211129.v31.n59.2022.14136
dc.language.none.fl_str_mv eng
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136/11498
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136/11678
dc.rights.en-US.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf57
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
http://purl.org/coar/access_right/c_abf57
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dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 31 No. 59 (2022): January-March 2022 (Continuous Publication); e14136
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 31 Núm. 59 (2022): Enero-Marzo 2022 (Publicación Continua); e14136
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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spelling 2022-03-142024-07-05T19:12:07Z2024-07-05T19:12:07Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/1413610.19053/01211129.v31.n59.2022.14136https://repositorio.uptc.edu.co/handle/001/14336This article presents an application of Minimax strategy and game theory to implement the Linja mobile game. This game theory strategy applies collaborative learning to determine the winner of a game between two opponents, thus determining the optimal move in complex environments. In the development of the collaborative game, different game learning scenarios are proposed where competition between a player and the machine, and competitions against other players, intervene. In the learning process, moves are proposed that allow the maximum gain and the minimum loss among the competitors. In this case, the methodological approach was carried out towards the move that allows maximizing the profit and minimizing the loss, based on the application of the Mini/Max algorithm in search of determining the optimal solution of the game. The process is obtained from the adaptation of mathematical models for the development of games, using specialized tools that support a multi-paradigm programming language working together with the tools that the same language provides and that potentially serve as a contribution to the development of the game. In the search for an intelligent and autonomous system. The intelligent system correctly finds the winner of a game, showing the course of the game move by move. The results show that the game developed with the Minimax strategy allows automatic learning in multiuser environments, correctly identifying the winner of a game, generating the most optimal route of the game from move to move.Este artículo presenta una aplicación de la estrategia Minimax y la teoría de juegos para implementar el juego móvil Linja. Esta estrategia de teoría de juegos aplica el aprendizaje colaborativo para determinar el ganador de un juego entre dos oponentes, determinando así el movimiento óptimo en entornos complejos. En el desarrollo del juego colaborativo se plantean diferentes escenarios de aprendizaje del juego donde intervienen la competencia entre un jugador y la máquina, y la competencia contra otros jugadores. En el proceso de aprendizaje se proponen movimientos que permitan la máxima ganancia y la mínima pérdida entre los competidores. En este caso se realizó el abordaje metodológico hacia la jugada que permita maximizar la ganancia y minimizar la pérdida, a partir de la aplicación del algoritmo Mini/Max en busca de determinar la solución óptima del juego. El proceso se obtiene a partir de la adaptación de modelos matemáticos para el desarrollo de juegos, utilizando herramientas especializadas que soportan un lenguaje de programación multiparadigma trabajando en conjunto con las herramientas que brinda el mismo lenguaje y que potencialmente sirven como aporte al desarrollo del juego. En la búsqueda de un sistema inteligente y autónomo. El sistema inteligente encuentra correctamente al ganador de un juego, mostrando el transcurso del juego jugada a jugada. Los resultados muestran que el juego desarrollado con la estrategia Minimax permite el aprendizaje automático en entornos multiusuario, identificando correctamente al ganador de un juego, generando el recorrido más óptimo del juego de jugada a jugada.application/pdftext/xmlengengUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136/11498https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14136/11678http://creativecommons.org/licenses/by/4.0http://purl.org/coar/access_right/c_abf57http://purl.org/coar/access_right/c_abf2Revista Facultad de Ingeniería; Vol. 31 No. 59 (2022): January-March 2022 (Continuous Publication); e14136Revista Facultad de Ingeniería; Vol. 31 Núm. 59 (2022): Enero-Marzo 2022 (Publicación Continua); e141362357-53280121-1129game theoryLinjaminimaxmobile gameoptimizationjuego móvilLinjaminimaxoptimizaciónteoría de juegosLinja: A Mobile Application Based on Minimax Strategy and Game TheoryLinja: Una aplicación movil basada en la estrategia Minimax y teoría de juegosinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a140http://purl.org/coar/version/c_970fb48d4fbd8a85Suárez-Barón, Marco-JavierRincón-Díaz, Holman-JairGonzález-Rodríguez, Carlos-DanielGonzález-Sanabria, Juan-Sebastián001/14336oai:repositorio.uptc.edu.co:001/143362025-07-18 11:53:14.408metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co