{"id":1117,"date":"2019-06-24T11:07:24","date_gmt":"2019-06-24T10:07:24","guid":{"rendered":"https:\/\/babel.isa.uma.es\/kipr\/?p=1117"},"modified":"2019-06-24T11:07:24","modified_gmt":"2019-06-24T10:07:24","slug":"on-theories-of-human-decision-making-and-the-role-of-affects","status":"publish","type":"post","link":"https:\/\/babel.isa.uma.es\/kipr\/?p=1117","title":{"rendered":"On theories of human decision making and the role of affects"},"content":{"rendered":"<h4>Ian D. Roberts, Cendri A. Hutcherson, <strong>Affect and Decision Making: Insights and Predictions from Computational Models<\/strong>, Trends in Cognitive Sciences,<br \/>\nVolume 23, Issue 7, 2019, Pages 602-614 <a href=\"https:\/\/doi.org\/10.1016\/j.tics.2019.04.005\" target=\"_blank\">DOI: 10.1016\/j.tics.2019.04.005<\/a>.<\/h4>\n<blockquote><p>In recent years interest in integrating the affective and decision sciences has skyrocketed. Immense progress has been made, but the complexities of each field, which can multiply when combined, present a significant obstacle. A carefully defined framework for integration is needed. The shift towards computational modeling in decision science provides a powerful basis and a path forward, but one whose synergistic potential will only be fully realized by drawing on the theoretical richness of the affective sciences. Reviewing research using a popular computational model of choice (the drift diffusion model), we discuss how mapping concepts to parameters reduces conceptual ambiguity and reveals novel hypotheses.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Ian D. Roberts, Cendri A. Hutcherson, Affect and Decision Making: Insights and Predictions from Computational Models, Trends in Cognitive Sciences, <span class=\"ellipsis\">&hellip;<\/span> <span class=\"more-link-wrap\"><a href=\"https:\/\/babel.isa.uma.es\/kipr\/?p=1117\" 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":[35],"tags":[36,81],"class_list":["post-1117","post","type-post","status-publish","format-standard","hentry","category-psycho-physiological-bases-of-engineering","tag-decision-making","tag-emotions"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/1117"}],"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=1117"}],"version-history":[{"count":1,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/1117\/revisions"}],"predecessor-version":[{"id":1118,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/1117\/revisions\/1118"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1117"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1117"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}