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

Autores
Contiggiani, Federico Eduardo; Delbianco, Fernando Andrés; Tohmé, Fernando
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present a formal model of decision-making under uncertainty, 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 {em features} of problems. New problems are evaluated in this setting, determining the best available actions in terms of the distance to previous problems. This is particularly relevant in the case of Accounting, in which information systems have to support efficient ways of solving problems. We also 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.
Fil: Contiggiani, Federico Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Delbianco, Fernando Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Tohmé, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
LV Reunión Anual online Asociación Argentina de Economía Política
Online
Argentina
Asociación Argentina de Economía Política
Materia
MICROECONOMIC THEORY
DECISION-MAKING UNDER RISK AND UNCERTAINTY
CASE-BASED DECISION THEORY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/153631
Acceder
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spelling A Graph-based Similarity Function for CBDT: Acquiring and Using New InformationContiggiani, Federico EduardoDelbianco, Fernando AndrésTohmé, FernandoMICROECONOMIC THEORYDECISION-MAKING UNDER RISK AND UNCERTAINTYCASE-BASED DECISION THEORYhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5We present a formal model of decision-making under uncertainty, 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 {em features} of problems. New problems are evaluated in this setting, determining the best available actions in terms of the distance to previous problems. This is particularly relevant in the case of Accounting, in which information systems have to support efficient ways of solving problems. We also 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.Fil: Contiggiani, Federico Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaFil: Delbianco, Fernando Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; ArgentinaFil: Tohmé, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; ArgentinaLV Reunión Anual online Asociación Argentina de Economía PolíticaOnlineArgentinaAsociación Argentina de Economía PolíticaAsociación Argentina de Economía Política2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectReuniónBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/153631A Graph-based Similarity Function for CBDT: Acquiring and Using New Information; LV Reunión Anual online Asociación Argentina de Economía Política; Online; Argentina; 2020; 1-24978-987-28590-8-41852-0022CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://aaep.org.ar/site/reuniones_anuales.html#:~:text=Con%20una%20gran%20convocatoria%2C%20los,%E2%80%9D%2C%20en%20modalidad%20no%20presencial.&text=La%20reuni%C3%B3n%20cont%C3%B3%20con%20la,exponer%20en%20las%20conferencias%20plenarias.info:eu-repo/semantics/altIdentifier/url/https://aaep.org.ar/anales/works/works2020/Contiggiani.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:56:45Zoai:ri.conicet.gov.ar:11336/153631instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:56:45.412CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
MICROECONOMIC THEORY
DECISION-MAKING UNDER RISK AND UNCERTAINTY
CASE-BASED DECISION THEORY
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 Andrés
Tohmé, Fernando
author Contiggiani, Federico Eduardo
author_facet Contiggiani, Federico Eduardo
Delbianco, Fernando Andrés
Tohmé, Fernando
author_role author
author2 Delbianco, Fernando Andrés
Tohmé, Fernando
author2_role author
author
dc.subject.none.fl_str_mv MICROECONOMIC THEORY
DECISION-MAKING UNDER RISK AND UNCERTAINTY
CASE-BASED DECISION THEORY
topic MICROECONOMIC THEORY
DECISION-MAKING UNDER RISK AND UNCERTAINTY
CASE-BASED DECISION THEORY
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv We present a formal model of decision-making under uncertainty, 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 {em features} of problems. New problems are evaluated in this setting, determining the best available actions in terms of the distance to previous problems. This is particularly relevant in the case of Accounting, in which information systems have to support efficient ways of solving problems. We also 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.
Fil: Contiggiani, Federico Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Delbianco, Fernando Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Tohmé, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
LV Reunión Anual online Asociación Argentina de Economía Política
Online
Argentina
Asociación Argentina de Economía Política
description We present a formal model of decision-making under uncertainty, 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 {em features} of problems. New problems are evaluated in this setting, determining the best available actions in terms of the distance to previous problems. This is particularly relevant in the case of Accounting, in which information systems have to support efficient ways of solving problems. We also 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Reunión
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/153631
A Graph-based Similarity Function for CBDT: Acquiring and Using New Information; LV Reunión Anual online Asociación Argentina de Economía Política; Online; Argentina; 2020; 1-24
978-987-28590-8-4
1852-0022
CONICET Digital
CONICET
url http://hdl.handle.net/11336/153631
identifier_str_mv A Graph-based Similarity Function for CBDT: Acquiring and Using New Information; LV Reunión Anual online Asociación Argentina de Economía Política; Online; Argentina; 2020; 1-24
978-987-28590-8-4
1852-0022
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://aaep.org.ar/site/reuniones_anuales.html#:~:text=Con%20una%20gran%20convocatoria%2C%20los,%E2%80%9D%2C%20en%20modalidad%20no%20presencial.&text=La%20reuni%C3%B3n%20cont%C3%B3%20con%20la,exponer%20en%20las%20conferencias%20plenarias.
info:eu-repo/semantics/altIdentifier/url/https://aaep.org.ar/anales/works/works2020/Contiggiani.pdf
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
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application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Asociación Argentina de Economía Política
publisher.none.fl_str_mv Asociación Argentina de Economía Política
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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