Oliver Selfridge was an early trailblazer in the realm of artificial intelligence, and in 1959 he authored a seminal paper detailing a system in which simple units, each executing a specific function, could be linked together to carry out intricate cognitive tasks. This \u2018pandemonium architecture\u2018 sparked research into neural networks, which subsequently gave rise to contemporary machine learning that we hear so much about today. The Pandemonium model is most famously recognized through some exceptionally distinctive illustrations by Leanne Hinton featured in Lindsey & Norman\u2019s 1977 introductory psychology textbook \u2018Human Information Processing\u2019. Here\u2019s one:<\/p>\n
An internet user remarked that the illustrations represent \u2018an effort to elucidate the intricacies of Parallel Distributed Processing using the framework of a child’s nightmare.\u2018, yet I have a fonder view of them \u2013 the demons appear amiable to me. Selfridge authored four children\u2019s books (I\u2019m unaware of who illustrated them), had three spouses and contributed to uncovering the narrative of National Security Agency surveillance as part of the Echelon program. While the Pandemonium model is broadly recognized, and frequently linked to these illustrations, the illustrator\u2019s name, Leanne Hinton, is often overlooked.<\/p>\n
I attempted to reach out to her to gather her perspective on the matter, and although I pinpointed Leanne Hinton, Professor Emerita of Linguistics, as the probable illustrator, she did not respond to my email, so I was unable to verify this was her or obtain permission to showcase the cartoons on this blog. [if you know more, or want me to correct anything in this post, please get in touch] One more image:<\/p>\n","protected":false},"excerpt":{"rendered":"
Oliver Selfridge was an early trailblazer in the realm of artificial intelligence, and in 1959 he authored a seminal paper detailing a system in which simple units, each executing a specific function, could be linked together to carry out intricate cognitive tasks. This \u2018pandemonium architecture\u2018 sparked research into neural networks, which subsequently gave rise to […]<\/p>\n","protected":false},"author":1,"featured_media":376718,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"Default","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[176],"class_list":["post-376717","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-source-mindhacks-com"],"_links":{"self":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/posts\/376717","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=376717"}],"version-history":[{"count":0,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/posts\/376717\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=\/wp\/v2\/media\/376718"}],"wp:attachment":[{"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=376717"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=376717"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wolfscientific.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=376717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}