{"id":1421,"date":"2020-02-03T19:39:46","date_gmt":"2020-02-03T19:39:46","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=1421"},"modified":"2021-01-05T18:26:25","modified_gmt":"2021-01-05T18:26:25","slug":"ia_2020_1","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/ia_2020_1\/","title":{"rendered":"GCC1734 &#8211; Intelig\u00eancia Artificial (2020.1)"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/ai_boss.jpg\"><img decoding=\"async\" class=\"alignnone size-medium wp-image-82\" src=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/ai_boss.jpg\" alt=\"causation\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<h3>Cursos<\/h3>\n<ul>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/portal\/index.php\/ciencia-da-computacao\/\">Bacharelado em Ci\u00eancia da Computa\u00e7\u00e3o<\/a><\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/portal\/index.php\/sistemas-para-internet\/\">Tecnologia em Sistemas para Internet<\/a><\/li>\n<\/ul>\n<hr \/>\n<h3>Locais e hor\u00e1rios das aulas<\/h3>\n<ul>\n<li>3as-feiras, das 15:35h \u00e0s 17:20h, por videoconfer\u00eancia (plataforma MS Teams)<\/li>\n<li>6as-feiras, das 14:30h \u00e0s 16:25h, por videoconfer\u00eancia (plataforma MS Teams)<\/li>\n<\/ul>\n<hr \/>\n<h3>Objetivos<\/h3>\n<p>Apresentar uma introdu\u00e7\u00e3o aos conceitos, modelos, m\u00e9todos, t\u00e9cnicas e aplica\u00e7\u00f5es da Intelig\u00eancia Artificial.<\/p>\n<hr \/>\n<h3>Ementa<\/h3>\n<p>Introdu\u00e7\u00e3o \u00e0 Intelig\u00eancia Artificial; Estrat\u00e9gias de Busca em Espa\u00e7os de Estados: busca cega; busca heur\u00edstica. Busca competitiva. Aprendizado por Refor\u00e7o. Redes Bayesianas. Aprendizado de M\u00e1quina.<\/p>\n<p>Veja tamb\u00e9m o <a href=\"http:\/\/eic.cefet-rj.br\/portal\/wp-content\/uploads\/2014\/11\/INTELIG%C3%8ANCIA-ARTIFICIAL-GCC1734.pdf\">plano de ensino<\/a> da disciplina.<\/p>\n<hr \/>\n<h3>Moodle<\/h3>\n<p>Todos os alunos regularmente inscritos ser\u00e3o adicionados \u00e0 disciplina hom\u00f4nima no <a href=\"http:\/\/eic.cefet-rj.br\/moodle\/\">Moodle<\/a>, para que possam receber avisos importantes (dia\/hor\u00e1rio das provas, d\u00favidas gerais, submiss\u00f5es dos trabalhos, etc).<\/p>\n<hr \/>\n<h3>Livro-texto<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"http:\/\/aima.cs.berkeley.edu\/cover2.jpg\" width=\"143\" height=\"186\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Russell &amp; Norvig, <strong>Artificial Intelligence: A Modern Approach<\/strong>, 3rd ed.<\/p>\n<p><a href=\"http:\/\/aima.cs.berkeley.edu\/\">P\u00e1gina WEB do livro<\/a><\/p>\n<p>Esse livro foi traduzido pela Elsevier\/Brasil.<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<h3>Aulas<\/h3>\n<p>Veja tamb\u00e9m o <a href=\"https:\/\/www.dropbox.com\/s\/cjpye5s9dc7dcvo\/IA-PlanoCurso%20%282020.1%29%20-%20ajustado.xlsx?dl=0\" target=\"_blank\" rel=\"noopener\">plano de curso<\/a> da disciplina e o <a href=\"http:\/\/www.cefet-rj.br\/attachments\/article\/199\/MARACAN\u00c3%20-%20CALENDARIO%20GRADUACAO%202020%20REV10.pdf\">calend\u00e1rio acad\u00eamico das gradua\u00e7\u00f5es<\/a> do CEFET\/RJ.<\/p>\n<table style=\"border: 1px solid #cccccc;\" width=\"100%\">\n<tbody>\n<tr>\n<td style=\"border: 1px solid #cccccc;\"><b>Aula<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Data<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Coment\u00e1rio<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Material complementar<\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">1<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">&#8212;<\/td>\n<td style=\"border: 1px solid #cccccc;\">Log\u00edstica do curso, plano de aulas (<a href=\"https:\/\/www.dropbox.com\/s\/kuvjfsglesmly6d\/IA%2000%20%28Apresenta%C3%A7%C3%A3o%20do%20curso%29.pptx?dl=0\" target=\"_blank\" rel=\"noopener\">IA-00<\/a>). Vis\u00e3o geral da IA (<a href=\"https:\/\/www.dropbox.com\/s\/ubqoungbl8vbftf\/IA%2001%20%28Vis%C3%A3o%20Geral%20da%20IA%29.pptx?dl=0\">IA-01<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">2<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">13\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Agentes e problemas de busca (<a href=\"https:\/\/www.dropbox.com\/s\/es4s98xp2im7uw9\/2019.1%20IA%2002a%20%28Agentes%20e%20Problemas%20de%20Busca%29.pptx?dl=0\">IA-02a<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">3<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a016\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Busca sem informa\u00e7\u00e3o (<em>blind search<\/em>) &#8211; BFS, DFS, UCS, DLS, IDS (<a href=\"https:\/\/www.dropbox.com\/s\/8a5zuvr4jaka8hh\/IA%2002b%20%28Busca%20sem%20Informa%C3%A7%C3%A3o%29.pptx?dl=0\">IA-02b<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">4<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a020\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Busca com heur\u00edsticas (<em>heuristic search<\/em>) &#8211; greedy search e A* (<a href=\"https:\/\/www.dropbox.com\/s\/9ju18mmxwqj4nua\/IA%2003%20%28Busca%20com%20Heur%C3%ADsticas%29.pptx?dl=0\">IA-03<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: left;\">V\u00eddeo: <a href=\"https:\/\/youtu.be\/-L-WgKMFuhE?list=PLFt_AvWsXl0cq5Umv3pMC9SPnKjfp9eGW\">A* Pathfinding<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">5<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">23\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Busca com heur\u00edsticas (<em>heuristic search<\/em>) &#8211; greedy search e A* (<a href=\"https:\/\/www.dropbox.com\/s\/9ju18mmxwqj4nua\/IA%2003%20%28Busca%20com%20Heur%C3%ADsticas%29.pptx?dl=0\">IA-03<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">6<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a027\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aplica\u00e7\u00f5es e propriedades do A* (<a href=\"https:\/\/www.dropbox.com\/s\/9ju18mmxwqj4nua\/IA%2003%20%28Busca%20com%20Heur%C3%ADsticas%29.pptx?dl=0\">IA-03<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">7<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a003\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Busca competitiva &#8211; Jogos determin\u00edsticos (<a href=\"https:\/\/www.dropbox.com\/s\/v1ik0um7p609woc\/IA%2004%20%28Busca%20Competitiva%20-%20Jogos%20Determin%C3%ADsticos%29.pptx?dl=0\">IA-04<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: left;\">V\u00eddeo: <a href=\"https:\/\/youtu.be\/l-hh51ncgDI\">alpha-beta pruning<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">8<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a010\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Busca competitiva &#8211; Jogos estoca\u0301sticos (<a href=\"https:\/\/www.dropbox.com\/s\/urz8yz3715stmtg\/IA%2005%20%28Busca%20Competitiva%20-%20Jogos%20Estoc%C3%A1sticos%29.pptx?dl=0\">IA-05<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">9<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a013\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Busca competitiva &#8211; Jogos estoca\u0301sticos (<a href=\"https:\/\/www.dropbox.com\/s\/urz8yz3715stmtg\/IA%2005%20%28Busca%20Competitiva%20-%20Jogos%20Estoc%C3%A1sticos%29.pptx?dl=0\">IA-05<\/a>) &#8211; cont.<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">10<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">17\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Processos de decis\u00e3o de Markov (<a href=\"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2019\/08\/IA-06-Processos-de-Decisa\u0303o-de-Markov-I.pptx\">AI-06<\/a>): conceitos introdut\u00f3rios<\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">11<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a024\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Processos de decis\u00e3o de Markov (<a href=\"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2019\/08\/IA-06-Processos-de-Decisa\u0303o-de-Markov-I.pptx\">AI-06<\/a>): Value Iteration<\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<a href=\"https:\/\/youtu.be\/xnf8i_IRCcw\">The Office &#8211; Pavlov Experiment<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">12<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a001\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Processos de decis\u00e3o de Markov (<a href=\"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2019\/08\/IA-06-Processos-de-Decisa\u0303o-de-Markov-I.pptx\">AI-06<\/a>): Value Iteration (cont.)<\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">13<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a008\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aprendizado por refor\u00e7o (<a href=\"https:\/\/www.dropbox.com\/s\/66i1800mbmxw8wt\/IA%2007%20%28Aprendizado%20por%20Refor%C3%A7o%20I%29.pptx?dl=0\">IA-07<\/a>): conceitos introdut\u00f3rios, TDL, Q-learning<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">14<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a011\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aprendizado por refor\u00e7o (<a href=\"https:\/\/www.dropbox.com\/s\/lrsk9b98jnpbl39\/IA%2008%20%28Aprendizado%20por%20Refor%C3%A7o%20II%29.pptx?dl=0\">IA-08<\/a>): Q-learning aproximado; Tutorial\u00a0<a href=\"https:\/\/colab.research.google.com\/drive\/1qqUkFw2xUovb-lN9ddBq5wPFSKNbPT2g?usp=sharing\">OpenAI Gym<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">15<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a015\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes bayesianas &#8211; representa\u00e7\u00e3o (<a href=\"https:\/\/www.dropbox.com\/s\/rt8n0whvzmu835y\/IA%2009%20%28Redes%20Bayesianas%20I%20-%20representa%C3%A7%C3%A3o%29.pptx?dl=0\">AI-09<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/probability_cheatsheet.pdf\">Probability Cheat Sheet<\/a>; <a href=\"http:\/\/www.cs.ubc.ca\/~murphyk\/Bayes\/Charniak_91.pdf\">paper<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">16<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a018\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes bayesianas &#8211; infer\u00eancia (<a href=\"https:\/\/www.dropbox.com\/s\/3fasszc8adfd8mn\/IA%2010%20%28Redes%20Bayesianas%20II%20-%20infer%C3%AAncia%29.pptx?dl=0\">AI-10<\/a>)<\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">17<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">22\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes bayesianas &#8211;\u00a0<a href=\"https:\/\/www.dropbox.com\/s\/plm84lp0fkj93dl\/IA%2011%20Exercicios-BayesNets.pptx?dl=0\">exerc\u00edcios<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">18<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">25\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes bayesianas &#8211; tutorial <a href=\"https:\/\/colab.research.google.com\/drive\/1V88pSbM3C3lhWyDRhmDa3iQl9tynKsOC?usp=sharing\">pgmpy<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/colab.research.google.com\/drive\/1V88pSbM3C3lhWyDRhmDa3iQl9tynKsOC\">exemplo &#8211; Cancer Bayesian Net<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/pgmpy\/pgmpy\/blob\/dev\/examples\/Creating%20a%20Bayesian%20Network.ipynb\">pgmpy notebook &#8211; cria\u00e7\u00e3o de uma RB<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/pgmpy\/pgmpy\/blob\/dev\/examples\/Inference%20in%20Bayesian%20Networks.ipynb\">pgmpy notebook &#8211; infer\u00eancia<\/a><\/li>\n<li><a href=\"http:\/\/www.bnlearn.com\/bnrepository\/discrete-small.html\">Reposit\u00f3rio de RBs<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=DEHqIxX1Kq4\">Probabilistic Graphical Models in Python (palestra sobre pgmpy)<\/a><\/li>\n<\/ul>\n<\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">19<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">29\/dez<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aprendizado de m\u00e1quina: <a href=\"https:\/\/www.dropbox.com\/s\/7n7pgnw4zyl0gwk\/AM%2001%20%28Vis%C3%A3o%20geral%20do%20AM%29.pptx?dl=0\">vis\u00e3o geral<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">20<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">01\/jan<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aprendizado de m\u00e1quina: <a href=\"https:\/\/www.dropbox.com\/s\/371lyrwiv35qfw2\/AM%2002%20%28Regress%C3%A3o%20Linear%20com%20Uma%20Vari%C3%A1vel%29.pptx?dl=0\">regress\u00e3o linear univariada<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">21<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a005\/jan<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aprendizado de m\u00e1quina: <a href=\"https:\/\/www.dropbox.com\/s\/h978tfzqo761nbq\/AM%2003%20%28Regress%C3%A3o%20Linear%20Multivariada%29.pptx?dl=0\">regress\u00e3o linear multivariada<\/a>, <a href=\"https:\/\/www.dropbox.com\/s\/c79ihakjna84nmd\/AM%2004%20%28Regress%C3%A3o%20Log%C3%ADstica%29.pptx?dl=0\">regress\u00e3o log\u00edstica<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">22<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a008\/jan<\/td>\n<td style=\"border: 1px solid #cccccc;\">Aprendizado de m\u00e1quina: tutorial<\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr size=\"4\" width=\"100%\" \/>\n<p><!--\n\n\n<h3>Resumos<\/h3>\n\n\nOs resumos de palestras e artigos devem ter no m\u00e1ximo uma p\u00e1gina e devem identificar as principais ideias apresentadas em cada palestra. O objetivo dos resumos \u00e9 ajudar voc\u00ea a refletir sobre as ideias transmitidas pelo autor da palestra.\n\n\n<h5>Resumo 1 - <span style=\"color: #ff0000; font-size: xx-small;\">Entrega a definir<\/span><\/h5>\n\n\nAssistir ao TED Talk <a href=\"https:\/\/www.ted.com\/talks\/nick_bostrom_what_happens_when_our_computers_get_smarter_than_we_are\">What happens when our computers get smarter than we are?<\/a> de NICK BOSTROM.\n\n\n<h5>Resumo 2 - <span style=\"color: #ff0000; font-size: xx-small;\">Entrega a definir<\/span><\/h5>\n\n\nAssistir \u00e0 palestra <a href=\"https:\/\/www.youtube.com\/watch?v=B8J4uefCQMc\">The Master Algorithm<\/a> de Pedro Domingos. Os slides dessa palestra: <a href=\"&quot;https:\/\/www.slideshare.net\/SessionsEvents\/pedro-domingos-professor-university-of-washington-at-mlconf-atl-91815&lt;\/a\">.<\/a>\n\n\n<h5>Resumo 3 - <span style=\"color: #ff0000; font-size: xx-small;\">Entrega a definir<\/span><\/h5>\n\n\nAssistir ao TED Talk <a href=\"https:\/\/www.ted.com\/talks\/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures\">How we're teaching computers to understand pictures<\/a> da Fei-Fei Li.\n\n\n<h5>Resumo 4 - <span style=\"color: #ff0000; font-size: xx-small;\">Entrega a definir<\/span><\/h5>\n\n\nAssistir ao TED Talk <a href=\"https:\/\/www.ted.com\/talks\/sebastian_thrun_google_s_driverless_car\">Google's Driverless Car<\/a> de Sebastian Thrun.\n\n\n\n<hr size=\"4\" width=\"100%\" \/>\n\n--><\/p>\n<h3>Listas de Exerc\u00edcios<\/h3>\n<ul>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios01.pdf\">Primeira lista de exerc\u00edcios<\/a> &#8211; <a href=\"https:\/\/www.dropbox.com\/s\/yq6eltnhu2q6324\/CEFET-IA-ListaExercicios01-GABARITO.pdf?dl=0\">gabarito<\/a><\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios02.pdf\">Segunda lista de exerc\u00edcios<\/a> &#8211; <a href=\"https:\/\/www.dropbox.com\/s\/hj4wvqedipo07au\/CEFET-IA-ListaExercicios02-GABARITO.pdf?dl=0\">gabarito<\/a><\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios03.pdf\">Terceira lista de exerc\u00edcios<\/a> &#8211; <a href=\"https:\/\/www.dropbox.com\/s\/o2b4fpyvymc0lxt\/CEFET-IA-ListaExercicios03-GABARITO.pdf?dl=0\">gabarito<\/a><!--Entrega: 09\/outubro- <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios03-GABARITO.pdf\">gabarito<\/a><\/span><\/li>\n\n\n--><\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios04.pdf\">Quarta lista de exerc\u00edcios<\/a> &#8211; <a href=\"https:\/\/www.dropbox.com\/s\/42tri78trxdnpbg\/CEFET-IA-ListaExercicios04-GABARITO.pdf?dl=0\">gabarito<\/a><!--ainda n\u00e3o liberada  <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios04-GABARITO.pdf\">gabarito<\/a><\/span><\/li>\n\n\n--><\/li>\n<li><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios05.pdf\">Quinta lista de exerc\u00edcios<\/a> &#8211; <a href=\"https:\/\/www.dropbox.com\/s\/pucbalw44yqs77z\/CEFET-IA-ListaExercicios05-GABARITO.pdf?dl=0\">gabarito<\/a><\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Trabalhos pr\u00e1ticos<\/h3>\n<p>Para implementar os trabalhos, voc\u00ea ir\u00e1 precisar dominar os fundamentos da linguagem Python. Para isso, recomendo o livro\u00a0<a href=\"https:\/\/automatetheboringstuff.com\">Automate the Boring Stuff with Python<\/a>.<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/www.dropbox.com\/s\/awll5a39ouhsuel\/IA-T1-Busca-no-Pacman.pdf?dl=0\">T1 <\/a>&#8211; Busca em Espa\u00e7o de Estados<\/strong>. <span style=\"color: #ff0000;\">Entrega: 05\/nov.<\/span><\/li>\n<li><strong><a href=\"https:\/\/www.dropbox.com\/s\/8tgwo3t5f5ir1pj\/IA-T2-PacMan-Multi-Agente.pdf?dl=0\">T2<\/a> &#8211; Busca em Jogos<\/strong>. <span style=\"color: #ff0000;\">Entrega: 24\/nov.<\/span><\/li>\n<li><strong><a href=\"https:\/\/www.dropbox.com\/s\/xo8yduyf7s3dd49\/IA-T3-Aprendizado-por-Refor%C3%A7o-Taxi-v3.pdf?dl=0\">T3<\/a> &#8211; Aprendizado por Refor\u00e7o<\/strong>. <span style=\"color: #ff0000;\">Entrega: 02\/jan.<\/span><\/li>\n<li><strong><a href=\"https:\/\/www.dropbox.com\/s\/l8tkahpe9q9y254\/IA-T4-RedesBayesianas-pgmpy.pdf?dl=0\">T4<\/a> &#8211; Redes Bayesianas<\/strong>. <span style=\"color: #ff0000;\">Entrega: 10\/jan.<\/span><\/li>\n<li><del><strong>T5 &#8211; Aprendizado de M\u00e1quina<\/strong>. <span style=\"color: #ff0000;\">Entrega: TBD.<\/span><\/del><\/li>\n<\/ul>\n<p><!--\n \t\n\n<li><strong>T4 - Probabilidades e Redes Bayesianas:<\/strong> <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-IA-ListaExercicios05.pdf\">Quinta Lista de Exerc\u00edcios<\/a>. <span style=\"color: #ff0000;\">Entrega: 10\/jun.<\/span><\/li>\n\n\n \t\n\n<li><strong>T5 - Aprendizado de M\u00e1quina:<\/strong> <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/IA-Trabalho-5-Classificacao.pdf\">enunciado<\/a>. <span style=\"color: #ff0000;\">Entrega: 20\/jun.<\/span><\/li>\n\n\n--><\/p>\n<p><!--\n \t\n\n<li>T4 - Modelos Ocultos de Markov: <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/IA-Trabalho4-Ghostbusters.pdf\">enunciado<\/a> e <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/tracking.zip\">c\u00f3digo base<\/a>. <span style=\"color: #ff0000; font-size: xx-small;\">Entrega: 06\/nov<\/span>.<\/li>\n\n\n \t\n\n<li>T5 - Aprendizado de M\u00e1quina: <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/IA-Trabalho-5-Classificac\u0327a\u0303o.pdf\">enunciado<\/a>. <span style=\"color: #ff0000; font-size: xx-small;\">ainda n\u00e3o liberado.<\/span><\/li>\n\n\n<\/ul>\n\n\n--><\/p>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Recursos recomendados<\/h3>\n<ul>\n<li>Andrew Ng: <a href=\"https:\/\/hbr.org\/2016\/11\/what-artificial-intelligence-can-and-cant-do-right-now\" target=\"_blank\" rel=\"noopener\">What Artificial Intelligence Can and Can\u2019t Do Right Now<\/a><\/li>\n<li>John McCarthy: <a class=\" dimmed\" href=\"http:\/\/www-formal.stanford.edu\/jmc\/whatisai\/whatisai.html\"><span class=\"instancename\">What is Artificial Intelligence?<\/span><\/a><\/li>\n<li>V\u00eddeo: <a href=\"https:\/\/www.youtube.com\/watch?v=aUkBa1zMKv4\">Particle Filters<\/a><\/li>\n<li>V\u00eddeo: <a href=\"https:\/\/www.youtube.com\/watch?v=Gm1f6ojwuAc&quot;\">Blind Search Algorithms<\/a><\/li>\n<li>V\u00eddeo: <a href=\"https:\/\/www.youtube.com\/watch?v=jvpWtwVSvjA\">Step-by-step Example: Alpha-Beta Pruning<\/a><\/li>\n<li>V\u00eddeo: <a href=\"https:\/\/www.youtube.com\/watch?v=6ELUvkSkCts\">Minimax Algorithm<\/a><\/li>\n<li><span class=\"instancename\">V\u00eddeo:<\/span><a class=\"\" href=\"http:\/\/eic.cefet-rj.br\/moodle\/mod\/url\/view.php?id=8258\"><span class=\"instancename\"> The 8 Queen Problem &#8211; Numberphile<\/span><\/a><\/li>\n<li><a class=\"\" href=\"http:\/\/artint.info\/\"><span class=\"instancename\">Artificial Intelligence: Foundations of Computational Agents<\/span><\/a><\/li>\n<li><a class=\"\" href=\"http:\/\/www.smbc-comics.com\/index.php?db=comics&amp;id=2124\"><span class=\"instancename\">Humans vs Robots?<\/span><\/a><\/li>\n<li>Voc\u00ea pode pesquisar livros relevantes no acervo da <a href=\"http:\/\/biblioteca.cefet-rj.br\/\">Biblioteca do CEFET\/RJ<\/a>.<\/li>\n<li><a href=\"https:\/\/automatetheboringstuff.com\">Automate the Boring Stuff with Python<\/a><\/li>\n<\/ul>\n<p>Livros de interesse geral sobre Intelig\u00eancia Artificial<\/p>\n<ul>\n<li>Nick Bostrom, <a href=\"https:\/\/www.amazon.com\/Superintelligence-Dangers-Strategies-Nick-Bostrom\/dp\/0198739834\">Superintelligence: Paths, Dangers, Strategies<\/a>, 2014.<\/li>\n<li>Pedro Domingos, <a href=\"https:\/\/www.amazon.com\/Master-Algorithm-Ultimate-Learning-Machine\/dp\/0465065708\/ref=pd_bxgy_14_img_2?_encoding=UTF8&amp;psc=1&amp;refRID=8ETNCQKT3X406VVJ3JV9\">The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World<\/a>, 2015.<\/li>\n<li>Jeff Hawkins, <a href=\"http:\/\/hasler.ece.gatech.edu\/Published_papers\/Technology_overview\/JeffHawkinsOnIntelligence.pdf\">On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines<\/a>, 2004.<\/li>\n<\/ul>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; &nbsp; Cursos Bacharelado em Ci\u00eancia da Computa\u00e7\u00e3o Tecnologia em Sistemas para Internet Locais e hor\u00e1rios das aulas 3as-feiras, das 15:35h \u00e0s 17:20h, por videoconfer\u00eancia (plataforma MS Teams) 6as-feiras, das 14:30h \u00e0s 16:25h, por videoconfer\u00eancia (plataforma MS Teams) Objetivos Apresentar uma introdu\u00e7\u00e3o aos conceitos, modelos, m\u00e9todos, t\u00e9cnicas e aplica\u00e7\u00f5es da Intelig\u00eancia Artificial. Ementa Introdu\u00e7\u00e3o \u00e0 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1421","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/1421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/comments?post=1421"}],"version-history":[{"count":28,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/1421\/revisions"}],"predecessor-version":[{"id":1579,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/1421\/revisions\/1579"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=1421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}