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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/153631
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:23:56Zoai: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:34982025-09-29 10:23:56.843CONICET 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 |
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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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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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Internacional |
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Asociación Argentina de Economía Política |
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Asociación Argentina de Economía Política |
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