A Graph-based Similarity Function for CBDT: Acquiring and Using New Information

Autores
Contiggiani, Federico Eduardo; Delbianco, Fernando; Tohmé, Fernando
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Contiggiani, Federico. Universidad Nacional de Río Negro. Instituto de Investigación en Políticas Públicas y Gobierno. Río Negro. Argentina.
Fil: Delbianco, Fernando. Instituto de Matemática de Bahía Blanca, CONICET - Universidad Nacional del Sur. Buenos Aires. Argentina.
Fil: Tohmé, Fernando. Instituto de Matemática de Bahía Blanca, CONICET - Universidad Nacional del Sur. Buenos Aires. Argentina.
One of the consequences of persistent technological change is that it force individuals to make decisions under extreme uncertainty. This means that traditional decision-making frameworks cannot be applied. To address this issue we introduce a variant of Case-Based Decision Theory, in which the solution to a problem obtains in terms of the distance to previous problems. We formalize this by defining a space based on an orthogonal basis of features of problems. We show how this framework evolves upon the acquisition of new information, namely features or values of them arising in new problems. We discuss how this can be useful to evaluate decisions based on not yet existing data.
Materia
Economía y Contabilidad
Microeconomic Behavior
Decision-Making under Risk and Un- certainty
Case Based Decision Theory
Economía y Contabilidad
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
RID-UNRN (UNRN)
Institución
Universidad Nacional de Río Negro
OAI Identificador
oai:rid.unrn.edu.ar:20.500.12049/7709
Acceder
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network_acronym_str RIDUNRN
repository_id_str 4369
network_name_str RID-UNRN (UNRN)
spelling A Graph-based Similarity Function for CBDT: Acquiring and Using New InformationContiggiani, Federico EduardoDelbianco, FernandoTohmé, FernandoEconomía y ContabilidadMicroeconomic BehaviorDecision-Making under Risk and Un- certaintyCase Based Decision TheoryEconomía y ContabilidadFil: Contiggiani, Federico. Universidad Nacional de Río Negro. Instituto de Investigación en Políticas Públicas y Gobierno. Río Negro. Argentina.Fil: Delbianco, Fernando. Instituto de Matemática de Bahía Blanca, CONICET - Universidad Nacional del Sur. Buenos Aires. Argentina.Fil: Tohmé, Fernando. Instituto de Matemática de Bahía Blanca, CONICET - Universidad Nacional del Sur. Buenos Aires. Argentina.One of the consequences of persistent technological change is that it force individuals to make decisions under extreme uncertainty. This means that traditional decision-making frameworks cannot be applied. To address this issue we introduce a variant of Case-Based Decision Theory, in which the solution to a problem obtains in terms of the distance to previous problems. We formalize this by defining a space based on an orthogonal basis of features of problems. We show how this framework evolves upon the acquisition of new information, namely features or values of them arising in new problems. We discuss how this can be useful to evaluate decisions based on not yet existing data.2020-11-18info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://arxiv.org/abs/2104.14268http://rid.unrn.edu.ar/handle/20.500.12049/7709enghttps://aaep.org.ar/site/reuniones_anuales.htmlLV Reunión Anual de la Asociación Argentina de Economía Políticainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-09-29T14:29:15Zoai:rid.unrn.edu.ar:20.500.12049/7709instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-09-29 14:29:15.471RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse
dc.title.none.fl_str_mv A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
title A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
spellingShingle A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
Contiggiani, Federico Eduardo
Economía y Contabilidad
Microeconomic Behavior
Decision-Making under Risk and Un- certainty
Case Based Decision Theory
Economía y Contabilidad
title_short A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
title_full A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
title_fullStr A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
title_full_unstemmed A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
title_sort A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
dc.creator.none.fl_str_mv Contiggiani, Federico Eduardo
Delbianco, Fernando
Tohmé, Fernando
author Contiggiani, Federico Eduardo
author_facet Contiggiani, Federico Eduardo
Delbianco, Fernando
Tohmé, Fernando
author_role author
author2 Delbianco, Fernando
Tohmé, Fernando
author2_role author
author
dc.subject.none.fl_str_mv Economía y Contabilidad
Microeconomic Behavior
Decision-Making under Risk and Un- certainty
Case Based Decision Theory
Economía y Contabilidad
topic Economía y Contabilidad
Microeconomic Behavior
Decision-Making under Risk and Un- certainty
Case Based Decision Theory
Economía y Contabilidad
dc.description.none.fl_txt_mv Fil: Contiggiani, Federico. Universidad Nacional de Río Negro. Instituto de Investigación en Políticas Públicas y Gobierno. Río Negro. Argentina.
Fil: Delbianco, Fernando. Instituto de Matemática de Bahía Blanca, CONICET - Universidad Nacional del Sur. Buenos Aires. Argentina.
Fil: Tohmé, Fernando. Instituto de Matemática de Bahía Blanca, CONICET - Universidad Nacional del Sur. Buenos Aires. Argentina.
One of the consequences of persistent technological change is that it force individuals to make decisions under extreme uncertainty. This means that traditional decision-making frameworks cannot be applied. To address this issue we introduce a variant of Case-Based Decision Theory, in which the solution to a problem obtains in terms of the distance to previous problems. We formalize this by defining a space based on an orthogonal basis of features of problems. We show how this framework evolves upon the acquisition of new information, namely features or values of them arising in new problems. We discuss how this can be useful to evaluate decisions based on not yet existing data.
description Fil: Contiggiani, Federico. Universidad Nacional de Río Negro. Instituto de Investigación en Políticas Públicas y Gobierno. Río Negro. Argentina.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-18
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info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv https://arxiv.org/abs/2104.14268
http://rid.unrn.edu.ar/handle/20.500.12049/7709
url https://arxiv.org/abs/2104.14268
http://rid.unrn.edu.ar/handle/20.500.12049/7709
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://aaep.org.ar/site/reuniones_anuales.html
LV Reunión Anual de la Asociación Argentina de Economía Política
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:RID-UNRN (UNRN)
instname:Universidad Nacional de Río Negro
reponame_str RID-UNRN (UNRN)
collection RID-UNRN (UNRN)
instname_str Universidad Nacional de Río Negro
repository.name.fl_str_mv RID-UNRN (UNRN) - Universidad Nacional de Río Negro
repository.mail.fl_str_mv rid@unrn.edu.ar
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score 12.559606

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