{"id":16434,"date":"2024-09-19T10:03:11","date_gmt":"2024-09-19T08:03:11","guid":{"rendered":"https:\/\/is.ijs.si\/?p=16434"},"modified":"2025-03-26T13:03:55","modified_gmt":"2025-03-26T12:03:55","slug":"razlozljiva-umetna-inteligenca-kako-naprej","status":"publish","type":"post","link":"https:\/\/is.ijs.si\/?p=16434","title":{"rendered":"Razlo\u017eljiva umetna inteligenca: kako naprej?"},"content":{"rendered":"\n<p>Ana Fari\u010d and Ivan Bratko<\/p>\n<p>Povzetek<br \/>Prispevek povzema in ocenjuje stanje metod in raziskav na<br \/>podro\u010dju razlo\u017eljive umetne inteligence. Pregled vsebuje<br \/>predlagane definicije razlage in lastnosti dobrih razlag. Podan je<br \/>grob pregled \u0161tevilnih obstoje\u010dih pristopov za generiranje<br \/>razlage, primeri konkretnih avtomatsko generiranih razlag in<br \/>nekatere empiri\u010dne ugotovitve, kako uporabniki sprejemajo te<br \/>razlage. \u0160tevilo raziskav na tem podro\u010dju se je v zadnjih letih<br \/>mo\u010dno pove\u010dalo, pri \u010demer pa razni avtorji uporabljajo razli\u010dne<br \/>definicije in kriterije. Kljub veliki koli\u010dini raziskav, so nekateri<br \/>vidiki razlo\u017eljivosti in tehni\u010dni pristopi dele\u017eni premalo<br \/>pozornosti, med drugim: razlaga zaporedij odlo\u010ditev,<br \/>upo\u0161tevanje uporabnikovega predznanja ter induktivno logi\u010dno<br \/>programiranje<\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/is.ijs.si\/wp-content\/uploads\/2024\/10\/IS2024_-_COGNITIVE_SCIENCE_paper_14-1.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of IS2024_-_COGNITIVE_SCIENCE_paper_14-1.\"><\/object><a id=\"wp-block-file--media-01530b02-a2c5-43af-ac07-a9f3b3ff8311\" href=\"https:\/\/is.ijs.si\/wp-content\/uploads\/2024\/10\/IS2024_-_COGNITIVE_SCIENCE_paper_14-1.pdf\">IS2024_-_COGNITIVE_SCIENCE_paper_14-1<\/a><a href=\"https:\/\/is.ijs.si\/wp-content\/uploads\/2024\/10\/IS2024_-_COGNITIVE_SCIENCE_paper_14-1.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-01530b02-a2c5-43af-ac07-a9f3b3ff8311\">Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":29,"featured_media":24966,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[107,102],"tags":[],"class_list":["post-16434","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-doi-cog-2024","category-papers"],"_links":{"self":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts\/16434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/users\/29"}],"replies":[{"embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16434"}],"version-history":[{"count":3,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts\/16434\/revisions"}],"predecessor-version":[{"id":24991,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts\/16434\/revisions\/24991"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/media\/24966"}],"wp:attachment":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}