MiniPool: Real-time artificial player for an 8-Ball video game
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.34627/rcc.v12iEspecial.13 |
Resumo: | Games like 8-Ball offer many interesting challenges for both AI and optimization communities because of the continuous and stochastic characteristics of the domain. To succeed, a player must be able to plan the best sequence of shots and execute them with accuracy and precision, so that he does not lose the turn. The artificial players developed to date tend to take more than 30 seconds to select and execute a shot. Under a videogame setting, a player would give up playing the game if he had to wait that long for his turn. To solve this problem, we propose a real-time solution using a Monte-Carlo and Expectimax hybrid search algorithm with ray tracing techniques. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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MiniPool: Real-time artificial player for an 8-Ball video gameGames like 8-Ball offer many interesting challenges for both AI and optimization communities because of the continuous and stochastic characteristics of the domain. To succeed, a player must be able to plan the best sequence of shots and execute them with accuracy and precision, so that he does not lose the turn. The artificial players developed to date tend to take more than 30 seconds to select and execute a shot. Under a videogame setting, a player would give up playing the game if he had to wait that long for his turn. To solve this problem, we propose a real-time solution using a Monte-Carlo and Expectimax hybrid search algorithm with ray tracing techniques.Jogos como 8-Ball oferecem muitos desafios interessantes para ambas as comunidades de IA e otimização devido às características contínuas e estocásticas do domínio. Para ter sucesso, um jogador deve ser capaz de planear a melhor sequência de tacadas e executá-las com pontaria e precisão, para que não perca o turno. Os jogadores artificiais desenvolvidos até hoje tendem a demorar mais de 30 segundos a selecionar e executar uma tacada. No cenário de um videojogo, um jogador desistiria de joga-lo se tivesse que esperar tanto tempo pela sua vez. Para resolver este problema, propomos uma solução em tempo real utilizando um algoritmo de pesquisa híbrido de Monte-Carlo e Expectimax com técnicas de rastreamento de raios.Universidade Aberta2018-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.34627/rcc.v12iEspecial.13oai:ojs2.journals.uab.pt:article/13Revista de Ciências da Computação; v. 12 n. Especial (2017)2182-18011646-633010.34627/rcc.v12iEspecialreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://journals.uab.pt/index.php/rcc/article/view/13https://doi.org/10.34627/rcc.v12iEspecial.13https://journals.uab.pt/index.php/rcc/article/view/13/13Direitos de Autor (c) 2017 Universidade Abertahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, DavidPrada, Rui2022-10-25T11:31:49Zoai:ojs2.journals.uab.pt:article/13Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:13:57.149199Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
MiniPool: Real-time artificial player for an 8-Ball video game |
title |
MiniPool: Real-time artificial player for an 8-Ball video game |
spellingShingle |
MiniPool: Real-time artificial player for an 8-Ball video game Silva, David |
title_short |
MiniPool: Real-time artificial player for an 8-Ball video game |
title_full |
MiniPool: Real-time artificial player for an 8-Ball video game |
title_fullStr |
MiniPool: Real-time artificial player for an 8-Ball video game |
title_full_unstemmed |
MiniPool: Real-time artificial player for an 8-Ball video game |
title_sort |
MiniPool: Real-time artificial player for an 8-Ball video game |
author |
Silva, David |
author_facet |
Silva, David Prada, Rui |
author_role |
author |
author2 |
Prada, Rui |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva, David Prada, Rui |
description |
Games like 8-Ball offer many interesting challenges for both AI and optimization communities because of the continuous and stochastic characteristics of the domain. To succeed, a player must be able to plan the best sequence of shots and execute them with accuracy and precision, so that he does not lose the turn. The artificial players developed to date tend to take more than 30 seconds to select and execute a shot. Under a videogame setting, a player would give up playing the game if he had to wait that long for his turn. To solve this problem, we propose a real-time solution using a Monte-Carlo and Expectimax hybrid search algorithm with ray tracing techniques. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.34627/rcc.v12iEspecial.13 oai:ojs2.journals.uab.pt:article/13 |
url |
https://doi.org/10.34627/rcc.v12iEspecial.13 |
identifier_str_mv |
oai:ojs2.journals.uab.pt:article/13 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://journals.uab.pt/index.php/rcc/article/view/13 https://doi.org/10.34627/rcc.v12iEspecial.13 https://journals.uab.pt/index.php/rcc/article/view/13/13 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2017 Universidade Aberta http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2017 Universidade Aberta http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Aberta |
publisher.none.fl_str_mv |
Universidade Aberta |
dc.source.none.fl_str_mv |
Revista de Ciências da Computação; v. 12 n. Especial (2017) 2182-1801 1646-6330 10.34627/rcc.v12iEspecial reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799130592858603520 |