{"id":434,"date":"2017-06-12T10:21:31","date_gmt":"2017-06-12T09:21:31","guid":{"rendered":"http:\/\/babel.isa.uma.es\/kipr\/?p=434"},"modified":"2017-06-12T10:21:31","modified_gmt":"2017-06-12T09:21:31","slug":"a-computational-cognitive-architecture-that-models-emotion","status":"publish","type":"post","link":"https:\/\/babel.isa.uma.es\/kipr\/?p=434","title":{"rendered":"A computational cognitive architecture that models emotion"},"content":{"rendered":"<h4>Ron Sun, Nick Wilson, Michael Lynch, <strong>Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture<\/strong>, Cognitive Computation, February 2016, Volume 8, Issue 1, pp 1\u201314, <a href=\"http:\/\/doi.org\/10.1007\/s12559-015-9374-4\" target=\"_blank\">DOI: 10.1007\/s12559-015-9374-4<\/a>.<\/strong><\/p>\n<blockquote><p>This paper reviews a project that attempts to interpret emotion, a complex and multifaceted phenomenon, from a mechanistic point of view, facilitated by an existing comprehensive computational cognitive architecture\u2014CLARION. This cognitive architecture consists of a number of subsystems: the action-centered, non-action-centered, motivational, and metacognitive subsystems. From this perspective, emotion is, first and foremost, motivationally based. It is also action-oriented. It involves many other identifiable cognitive functionalities within these subsystems. Based on these functionalities, we fit the pieces together mechanistically (computationally) within the CLARION framework and capture a variety of important aspects of emotion as documented in the literature.<\/blocquote><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ron Sun, Nick Wilson, Michael Lynch, Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture, Cognitive Computation, February 2016, Volume <span class=\"ellipsis\">&hellip;<\/span> <span class=\"more-link-wrap\"><a href=\"https:\/\/babel.isa.uma.es\/kipr\/?p=434\" class=\"more-link\"><span>Read More &rarr;<\/span><\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37],"tags":[176,81],"class_list":["post-434","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-cognitive-models","tag-emotions"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/434"}],"collection":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=434"}],"version-history":[{"count":1,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/434\/revisions"}],"predecessor-version":[{"id":435,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/434\/revisions\/435"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}