Incremental and developmental perspectives for general-purpose learning systems
The stupefying success of Articial Intelligence (AI) for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent) problems. This dissertation deals with the long-standing problem of crea...
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Format: | Article |
Language: | English |
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Asociación Española para la Inteligencia Artificial
2017-02-01
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Series: | Inteligencia Artificial |
Online Access: | http://journal.iberamia.org/index.php/intartif/article/view/23 |
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author | Fernando Martínez-Plumed |
author_facet | Fernando Martínez-Plumed |
author_sort | Fernando Martínez-Plumed |
collection | DOAJ |
description | The stupefying success of Articial Intelligence (AI) for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent) problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems. |
first_indexed | 2024-12-19T23:46:53Z |
format | Article |
id | doaj.art-a9aa79bf7a8349eeaa12ec9de75a7896 |
institution | Directory Open Access Journal |
issn | 1137-3601 1988-3064 |
language | English |
last_indexed | 2024-12-19T23:46:53Z |
publishDate | 2017-02-01 |
publisher | Asociación Española para la Inteligencia Artificial |
record_format | Article |
series | Inteligencia Artificial |
spelling | doaj.art-a9aa79bf7a8349eeaa12ec9de75a78962022-12-21T20:01:17ZengAsociación Española para la Inteligencia ArtificialInteligencia Artificial1137-36011988-30642017-02-012060242710.4114/intartif.vol20iss60pp24-2723Incremental and developmental perspectives for general-purpose learning systemsFernando Martínez-Plumed0UPVThe stupefying success of Articial Intelligence (AI) for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent) problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems.http://journal.iberamia.org/index.php/intartif/article/view/23 |
spellingShingle | Fernando Martínez-Plumed Incremental and developmental perspectives for general-purpose learning systems Inteligencia Artificial |
title | Incremental and developmental perspectives for general-purpose learning systems |
title_full | Incremental and developmental perspectives for general-purpose learning systems |
title_fullStr | Incremental and developmental perspectives for general-purpose learning systems |
title_full_unstemmed | Incremental and developmental perspectives for general-purpose learning systems |
title_short | Incremental and developmental perspectives for general-purpose learning systems |
title_sort | incremental and developmental perspectives for general purpose learning systems |
url | http://journal.iberamia.org/index.php/intartif/article/view/23 |
work_keys_str_mv | AT fernandomartinezplumed incrementalanddevelopmentalperspectivesforgeneralpurposelearningsystems |