{"id":33,"date":"2013-10-30T19:34:01","date_gmt":"2013-10-30T19:34:01","guid":{"rendered":"http:\/\/agi-conf.org\/2014\/?page_id=33"},"modified":"2014-09-16T04:06:10","modified_gmt":"2014-09-16T04:06:10","slug":"workshop-on-agi-and-cognitive-science","status":"publish","type":"page","link":"https:\/\/agi-conf.org\/2014\/workshop-on-agi-and-cognitive-science\/","title":{"rendered":"Special Session on AGI &#038; Cog Sci"},"content":{"rendered":"<p><strong>AGI-2014 Special Session on AGI and Cognitive Science<\/strong><\/p>\n<p>For the first time, in 2014, an AGI conference included a session specifically focused on AGI in its relation to other aspects of\u00a0Cognitive Science.\u00a0In this special session we explored and discussed AGI\u2019s integration and\u00a0role within Cognitive Science. We presented the following contributions:<\/p>\n<p><em>Vadim Bulitko (University of Alberta Edmonton):<\/em><strong>\u00a0<em><a href=\"https:\/\/agi-conf.org\/2014\/wp-content\/uploads\/2013\/10\/flowWorkshop.pdf\">Flow for Meta Control<\/a><\/em><\/strong><\/p>\n<p><em>\u00a0Pei Wang (Temple University, Philadelphia), Bas R. Steunebrink (IDSIA), and Kristinn R. Th\u00f3risson (Reykjav\u00edk University\/IIIM):<\/em><strong>\u00a0<em><a href=\"https:\/\/agi-conf.org\/2014\/wp-content\/uploads\/2013\/10\/AGI-CogSci.pdf\">What Should AGI Learn From AI &amp; CogSci?<\/a><\/em><\/strong><\/p>\n<p><em>Joscha Bach (MIT\/Harvard PED): Artificial General Intelligence \u000bas a Foundational Discipline \u000bin Cognitive Science<\/em><\/p>\n<p><em>Glenn Gunzelmann (Airforce Research Laboratory): The Role of Cognitive Science in Artificial General Intelligence<\/em><\/p>\n<p><strong>Background &amp; Vision<\/strong><\/p>\n<p>Artificial General Intelligence is not simply AI reloaded, but may be\u00a0best understood as a sub-discipline of Cognitive Science. AGI treats \u00a0cognition and the mind as computational phenomena, and either strives\u00a0to replicate (and exceed) human cognitive performance, or treat human\u00a0and animal minds as specific cases of a more general class of\u00a0intelligent system to be explored.<\/p>\n<p>In the early years of the AI field, the leading approaches were mostly\u00a0characterized by an understanding of cognition as the manipulation of\u00a0rather abstract representations: the integration of real-world\u00a0perception and action, autonomous learning, motivation and emotion\u00a0were usually outside the scope of the models. AI has since seen\u00a0several broad movements, including connectionism,\u00a0statistical\/probabilistic learning and modeling, and robotic systems.<\/p>\n<p>Today, most work in AI focuses on applications or abstract methods\u00a0rather than building mind-like systems. In contrast, AGI remains aimed\u00a0at an understanding of the mind, in the context the progress in\u00a0computational neuroscience and new insights into affect, motivation,\u00a0autonomy, perceptual processing, attention, sociality, language, and\u00a0so on.AGI is not well aligned with the boundaries of existing disciplines,\u00a0but must draw from many fields. Unlike most work in the other\u00a0sub-disciplines of Cognitive Science, AGI is ultimately always\u00a0concerned with the creation of complete working systems and the\u00a0identification of general functional principles, which are abstracted\u00a0as algorithms and architectures.<\/p>\n<p>AGI has to be informed by our best understanding of the mind, and thus\u00a0cannot afford ignorance of cognitive neuroscience, cognitive and\u00a0developmental psychology, linguistics, and philosophy of mind, to name\u00a0just a few of the relevant fields. On the other hand, the\u00a0constructionist approach of AGI offers a methodology to formulate,\u00a0integrate and test theories from various cognitive sciences as\u00a0computational simulations. AGI also offers formalisms, terminology and\u00a0working systems that can potentially be applied to many individual\u00a0problems of the other sub-disciplines of Cognitive Science.<\/p>\n<p><strong>Special Session Chair:\u00a0<\/strong>Joscha Bach<\/p>\n<p><strong>Special Session Organizing Committee:<\/strong> <a href=\"http:\/\/micropsi.com\">Joscha Bach<\/a>, <a href=\"http:\/\/actr.psy.cmu.edu\/people\/index.php?id=10\">Glenn Gunzelmann<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AGI-2014 Special Session on AGI and Cognitive Science For the first time, in 2014, an AGI conference included a session specifically focused on AGI in its relation to other aspects of\u00a0Cognitive Science.\u00a0In this special session we explored and discussed AGI\u2019s integration and\u00a0role within Cognitive Science. We presented the following contributions: Vadim Bulitko (University of Alberta [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-33","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/pages\/33","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/comments?post=33"}],"version-history":[{"count":19,"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/pages\/33\/revisions"}],"predecessor-version":[{"id":102,"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/pages\/33\/revisions\/102"}],"wp:attachment":[{"href":"https:\/\/agi-conf.org\/2014\/wp-json\/wp\/v2\/media?parent=33"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}