{"id":144097,"date":"2014-09-23T09:41:13","date_gmt":"2014-09-23T13:41:13","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/artificial-intelligence-that-imitates-childrens-learning.php"},"modified":"2014-09-23T09:41:13","modified_gmt":"2014-09-23T13:41:13","slug":"artificial-intelligence-that-imitates-childrens-learning","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/artificial-intelligence-that-imitates-childrens-learning.php","title":{"rendered":"Artificial intelligence that imitates children&#39;s learning"},"content":{"rendered":"<p><p>38 minutes ago by Catharina Jerkbrant            <\/p>\n<p>    The computer programmes used in the field of artificial    intelligence (AI) are highly specialised. They can for example    fly airplanes, play chess or assemble cars in controlled    industrial environments. However, a research team from    Gothenburg, Sweden, has now been able to create an AI programme    that can learn how to solve problems in many different areas.    The programme is designed to imitate certain aspects of    children's cognitive development.  <\/p>\n<p>    Traditional AI programmes lack the versatility and adaptability    of human intelligence. For example, they cannot come into a new    home and cook, clean and do laundry.  <\/p>\n<p>    In artificial general intelligence (AGI), which is a new field    within AI, scientists try to create computer programmes with a    generalised type of intelligence, enabling them to solve    problems in vastly different areas. Gothenburg has a leading    research team in this domain. In August, 'exceptional    contributions to the AGI field' earned a team of researchers    from the University of Gothenburg and Chalmers University of    Technology the Kurzweil Prize for the second straight year.  <\/p>\n<p>    No pre-existing knowledge  <\/p>\n<p>    'We have developed a programme that can learn for example basic    arithmetic, logic and grammar without any pre-existing    knowledge,' says Claes Strannegrd, a member of the research    team together with Abdul Rahim Nizamani and Ulf Persson.  <\/p>\n<p>    The best example of general intelligence that we know of today    is the human brain, and the scientists' strategy has been to    imitate, at a very fundamental level, how children develop    intelligence. Children can learn a wide range of things. They    build new knowledge based on previous knowledge and they can    use their total knowledge to draw new conclusions. This is    exactly what the scientists wanted their programme to be able    to do.  <\/p>\n<p>    Children learn based on experience  <\/p>\n<p>    'We postulate that children learn everything based on    experiences and that they are always looking for general    patterns,' says Strannegrd.  <\/p>\n<p>    A child who for example is learning multiplication and who knows that 2 x 0    = 0 and 3 x 0 = 0 can identify a pattern and conclude that also    17 x 0 = 0. However, sometimes this method backfires. If the    child knows that 0 x 0 = 0 and 1 x 1 = 1, he or she can    incorrectly conclude that 2 x 2 = 2. As soon as the child    realises that a certain pattern can lead to incorrect    conclusions, he or she can simply stop applying it.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read the rest here:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/phys.org\/news330681745.html\/RK=0\/RS=GuLoLWbfIPOY0J3rVi2XPnTvry4-\" title=\"Artificial intelligence that imitates children&#39;s learning\">Artificial intelligence that imitates children&#39;s learning<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> 38 minutes ago by Catharina Jerkbrant The computer programmes used in the field of artificial intelligence (AI) are highly specialised. They can for example fly airplanes, play chess or assemble cars in controlled industrial environments.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/artificial-intelligence-that-imitates-childrens-learning.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-144097","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/144097"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=144097"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/144097\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=144097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=144097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=144097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}