{"id":713,"date":"2017-11-15T09:21:24","date_gmt":"2017-11-15T08:21:24","guid":{"rendered":"http:\/\/babel.isa.uma.es\/kipr\/?p=713"},"modified":"2018-07-06T09:23:19","modified_gmt":"2018-07-06T08:23:19","slug":"towards-taking-into-account-the-complexity-of-finding-the-best-option-in-decision-making-systems","status":"publish","type":"post","link":"https:\/\/babel.isa.uma.es\/kipr\/?p=713","title":{"rendered":"Towards taking into account the complexity of finding the best option in decision-making systems"},"content":{"rendered":"<h4>Peter Bossaerts, Carsten Murawski, <strong>Computational Complexity and Human Decision-Making<\/strong>, Trends in Cognitive Sciences, Volume 21, Issue 12, 2017, Pages 917-929, <a href=\"http:\/\/doi.org\/10.1016\/j.tics.2017.09.005\" target=\"_blank\">DOI: 10.1016\/j.tics.2017.09.005<\/a>.<\/h4>\n<blockquote><p>The rationality principle postulates that decision-makers always choose the best action available to them. It underlies most modern theories of decision-making. The principle does not take into account the difficulty of finding the best option. Here, we propose that computational complexity theory (CCT) provides a framework for defining and quantifying the difficulty of decisions. We review evidence showing that human decision-making is affected by computational complexity. Building on this evidence, we argue that most models of decision-making, and metacognition, are intractable from a computational perspective. To be plausible, future theories of decision-making will need to take into account both the resources required for implementing the computations implied by the theory, and the resource constraints imposed on the decision-maker by biology.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Peter Bossaerts, Carsten Murawski, Computational Complexity and Human Decision-Making, Trends in Cognitive Sciences, Volume 21, Issue 12, 2017, Pages 917-929, <span class=\"ellipsis\">&hellip;<\/span> <span class=\"more-link-wrap\"><a href=\"https:\/\/babel.isa.uma.es\/kipr\/?p=713\" 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":[302,36],"class_list":["post-713","post","type-post","status-publish","format-standard","hentry","category-psycho-physiological-bases-of-engineering","tag-computational-complexity","tag-decision-making"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/713"}],"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=713"}],"version-history":[{"count":1,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/713\/revisions"}],"predecessor-version":[{"id":714,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/713\/revisions\/714"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=713"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=713"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=713"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}