Probabilistic Perception Revision in AgentSpeak(L)
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/16469 https://doi.org/10.1007/978-3-319-25524-8_44 |
Resumo: | Agent programming is mostly a symbolic discipline and, as such, draws little benefits from probabilistic areas as machine learning and graphical models. However, the greatest objective of agent research is the achievement of autonomy in dynamical and complex environments — a goal that implies embracing uncertainty and therefore the entailed representations, algorithms and techniques. This paper proposes an innovative and conflict free two layer approach to agent programming that uses already established methods and tools from both symbolic and probabilistic artificial intelligence. Moreover, this method is illustrated by means of a widely used agent programming example, GOLDMINERS. |
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Probabilistic Perception Revision in AgentSpeak(L)Probabilistic Graphical ModelsDeclarative ProgrammingBDI AgentAgent programming is mostly a symbolic discipline and, as such, draws little benefits from probabilistic areas as machine learning and graphical models. However, the greatest objective of agent research is the achievement of autonomy in dynamical and complex environments — a goal that implies embracing uncertainty and therefore the entailed representations, algorithms and techniques. This paper proposes an innovative and conflict free two layer approach to agent programming that uses already established methods and tools from both symbolic and probabilistic artificial intelligence. Moreover, this method is illustrated by means of a widely used agent programming example, GOLDMINERS.Springer2015-12-11T13:02:57Z2015-12-112015-10-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/16469http://hdl.handle.net/10174/16469https://doi.org/10.1007/978-3-319-25524-8_44engnaonaonaofc@di.uevora.ptvbn@di.uevora.pt281Coelho, FranciscoNogueira, Vitorinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:02:59Zoai:dspace.uevora.pt:10174/16469Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:08:44.785360Repositório 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 |
Probabilistic Perception Revision in AgentSpeak(L) |
title |
Probabilistic Perception Revision in AgentSpeak(L) |
spellingShingle |
Probabilistic Perception Revision in AgentSpeak(L) Coelho, Francisco Probabilistic Graphical Models Declarative Programming BDI Agent |
title_short |
Probabilistic Perception Revision in AgentSpeak(L) |
title_full |
Probabilistic Perception Revision in AgentSpeak(L) |
title_fullStr |
Probabilistic Perception Revision in AgentSpeak(L) |
title_full_unstemmed |
Probabilistic Perception Revision in AgentSpeak(L) |
title_sort |
Probabilistic Perception Revision in AgentSpeak(L) |
author |
Coelho, Francisco |
author_facet |
Coelho, Francisco Nogueira, Vitor |
author_role |
author |
author2 |
Nogueira, Vitor |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Coelho, Francisco Nogueira, Vitor |
dc.subject.por.fl_str_mv |
Probabilistic Graphical Models Declarative Programming BDI Agent |
topic |
Probabilistic Graphical Models Declarative Programming BDI Agent |
description |
Agent programming is mostly a symbolic discipline and, as such, draws little benefits from probabilistic areas as machine learning and graphical models. However, the greatest objective of agent research is the achievement of autonomy in dynamical and complex environments — a goal that implies embracing uncertainty and therefore the entailed representations, algorithms and techniques. This paper proposes an innovative and conflict free two layer approach to agent programming that uses already established methods and tools from both symbolic and probabilistic artificial intelligence. Moreover, this method is illustrated by means of a widely used agent programming example, GOLDMINERS. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12-11T13:02:57Z 2015-12-11 2015-10-25T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/16469 http://hdl.handle.net/10174/16469 https://doi.org/10.1007/978-3-319-25524-8_44 |
url |
http://hdl.handle.net/10174/16469 https://doi.org/10.1007/978-3-319-25524-8_44 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
nao nao nao fc@di.uevora.pt vbn@di.uevora.pt 281 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
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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) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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