{"id":18959,"date":"2018-03-09T09:07:45","date_gmt":"2018-03-09T09:07:45","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/operadores-de-generalizacion-para-el-aprendizaje-clausal\/"},"modified":"2018-03-09T09:07:45","modified_gmt":"2018-03-09T09:07:45","slug":"operadores-de-generalizacion-para-el-aprendizaje-clausal","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/operadores-de-generalizacion-para-el-aprendizaje-clausal\/","title":{"rendered":"Operadores de generalizaci\u00f3n para el aprendizaje clausal"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Miguel Angel Gutierrez Naranjo <\/strong><\/h2>\n<p>En esta memoria hemos estudiado los procesos de generalizaci\u00f3n, el paso de lo particular a lo general, cuando la informaci\u00f3n est\u00e1 expresada en lenguaje clausal. Para ello hemos definido unos operadores adaptados a los distintos \u00f3rdenes de generalidad. Ha sido necesario compaginar adecuadamente los distintos niveles en los que se produce la generalizaci\u00f3n: t\u00e9rminos, literales, cl\u00e1usulas y programas. La soluci\u00f3n propuesta se apoya en la utilizaci\u00f3n de conjuntos de posiciones, conjuntos de literales y conjuntos de cl\u00e1usulas, es decir, los operadores act\u00faan sin necesidad de considerar \u00f3rdenes sobre los literales de una cl\u00e1usula o entre las cl\u00e1usulas de un programa.  las principales aportaciones realizadas en esta memoria han sido:  1,- la definici\u00f3n de una nueva familia de operadores, los operadores clausales, con la propiedad de ser operadores universales, esto es, que dadas dos cl\u00e1usulas cualesquiera c y d podemos alcanzar d desde c mediante la sucesiva aplicaci\u00f3n de estos operadores.  2,- la definici\u00f3n de los operadores de aprendizaje para la subsunci\u00f3n (oas). Estos operadores son un subconjunto del conjunto de operadores clausales y su principal propiedad es que representan una caracterizaci\u00f3n mediante operadores de la relaci\u00f3n de subsunci\u00f3n entre cl\u00e1usulas, esto es, dadas dos cl\u00e1usulas cualesquiera c y d, se verifica que c subsume a d si y s\u00f3lo si podemos obtener c a partir de d mediante la aplicaci\u00f3n de una cadena de oas.  3,- la definici\u00f3n de una quasi-m\u00e9trica sobre el conjunto de cl\u00e1usulas que permite cuantificar la proximidad entre cl\u00e1usulas basada en la relaci\u00f3n de subsunci\u00f3n.  4,- un algoritmo para calcular dicha quasi-m\u00e9trica.  5,- una f\u00f3rmula para una r\u00e1pida estimaci\u00f3n de esta quasi-m\u00e9trica que permite reducir coste computacionales.  6,- la definici\u00f3n de operadores de generalizaci\u00f3n para el orden de derivaci\u00f3n por resoluci\u00f3n: los operadores de inversi\u00f3n sesgados (ois). Una apropia<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Operadores de generalizaci\u00f3n para el aprendizaje clausal<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Operadores de generalizaci\u00f3n para el aprendizaje clausal <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Miguel Angel Gutierrez Naranjo <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Sevilla<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 16\/09\/2002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Jos\u00e9 Antonio Alonso Jimenez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: jos\u00e9 Mu\u00f1oz p\u00e9rez <\/li>\n<li>delia Balbont\u00edn noval (vocal)<\/li>\n<li> Ledesma otamendi Luis de (vocal)<\/li>\n<li>mario de Jes\u00fas P\u00e9rez  jim\u00e9nez (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Miguel Angel Gutierrez Naranjo En esta memoria hemos estudiado los procesos de generalizaci\u00f3n, el paso de lo [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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