{"id":684,"date":"2008-10-27T00:33:58","date_gmt":"2008-10-27T05:33:58","guid":{"rendered":"http:\/\/arxivblog.com\/?p=684"},"modified":"2008-10-27T00:35:09","modified_gmt":"2008-10-27T05:35:09","slug":"slime-mould-intelligence-points-to-a-new-model-of-ai","status":"publish","type":"post","link":"http:\/\/arxivblog.com\/?p=684","title":{"rendered":"Slime Mould intelligence points to a new model of AI"},"content":{"rendered":"<p><a href=\"http:\/\/arxivblog.com\/wp-content\/uploads\/2008\/10\/slime-mould.jpg\" title=\"slime-mould.jpg\"><img decoding=\"async\" src=\"http:\/\/arxivblog.com\/wp-content\/uploads\/2008\/10\/slime-mould.thumbnail.jpg\" alt=\"slime-mould.jpg\" \/><\/a><\/p>\n<p>Earlier this year, a group of Japanese scientists reported that with appropriate training, the true slime mold <em>Physarum polycephalum <\/em>can anticipate the timing of periodic events.<\/p>\n<p>That&#8217;s more than some politicians can manage and <em>P polycephalum <\/em>is only a single-celled amoeba, albeit a talented one. A few years ago a Hungarian team showed that slime mold was able to find the shortest way through a maze.<\/p>\n<p>Clearly, primitive intelligence has cellular origins but how might this work?<\/p>\n<p>Yuriy Pershin at UC San Diego and pals think they know how.  They say that this kind of behaviour is identical to the way a simple electronic circuit reacts to train of voltage pulses. The circuit consists of an inductor, capacitor and a memory-resistor, or memristor.<\/p>\n<p>Interestingly, this learning behavior comes from purely passive components. This can easily be reproduced in the lab and the San Diego team say it may turn out to be a useful way to build passive circuits that learn.<\/p>\n<p>Link several of these passive learning circuits together and you might be able to knock up a simple neural net. Suddenly, you&#8217;ve got a new kind of AI on your hands and the origins of cellular intelligence  don&#8217;t seem so obscure, after all.<\/p>\n<p>Ref: <a href=\"http:\/\/arxiv.org\/abs\/0810.4179\">arxiv.org\/abs\/0810.4179<\/a>: Memristive Model of Amoeba\u2019s Learning<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Earlier this year, a group of Japanese scientists reported that with appropriate training, the true slime mold Physarum polycephalum can anticipate the timing of periodic events. That&#8217;s more than some politicians can manage and P polycephalum is only a single-celled amoeba, albeit a talented one. A few years ago a Hungarian team showed that slime [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,17],"tags":[],"class_list":["post-684","post","type-post","status-publish","format-standard","hentry","category-secrets","category-slimey-stuff"],"_links":{"self":[{"href":"http:\/\/arxivblog.com\/index.php?rest_route=\/wp\/v2\/posts\/684","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/arxivblog.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/arxivblog.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/arxivblog.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/arxivblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=684"}],"version-history":[{"count":0,"href":"http:\/\/arxivblog.com\/index.php?rest_route=\/wp\/v2\/posts\/684\/revisions"}],"wp:attachment":[{"href":"http:\/\/arxivblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=684"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/arxivblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=684"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/arxivblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}