{"id":15140,"date":"2023-09-25T01:39:43","date_gmt":"2023-09-25T05:39:43","guid":{"rendered":"https:\/\/carleton.ca\/cognitivescience\/?p=15140"},"modified":"2025-05-05T10:36:53","modified_gmt":"2025-05-05T14:36:53","slug":"colloquium-modeling-cognition-with-computational-architectures","status":"publish","type":"post","link":"https:\/\/carleton.ca\/cognitivescience\/2023\/colloquium-modeling-cognition-with-computational-architectures\/","title":{"rendered":"Colloquium: Modeling Cognition with Computational Architectures"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        Colloquium: Modeling Cognition with Computational Architectures\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n<p><strong>Date:<\/strong>&nbsp;27 September 2023 @3:00PM-04:00PM<\/p>\n\n\n\n<p><strong>Title:<\/strong>&nbsp;Modeling Cognition with Computational Architectures<\/p>\n\n\n\n<p><strong>Location:<\/strong>&nbsp;Online &amp; DT 2203<\/p>\n\n\n\n<p><strong>Abstract:<\/strong><br>\nCognitive architectures are useful for the validation of new findings with prior, empirically supported theories of cognition and psychology. Additionally, they provide a roadmap for developing more human-like artificial intelligence. By modeling research on mental models, we can demonstrate consistency across multiple theoretical frameworks. By developing a methodology for modeling causal reasoning, we can begin to model idiosyncratic performance on causal reasoning tasks and provide a new avenue for AI research into interpretability and AI reasoning skills.<\/p>\n\n\n\n<p><strong>Speakers:<\/strong>&nbsp;Nico Turcas &amp; Spencer Eckler \u2013 Cognitive Science PhD Candidates<\/p>\n\n\n\n<p><strong>Bio:<\/strong><\/p>\n\n\n\n<p>Nico Turcas and&nbsp;Spencer&nbsp;Eckler are both PhD students in the department of Cognitive Science at Carleton University. Their research interests are in cognitive modeling through the use of computational cognitive architectures, particularly within the frameworks of ACT-R and the Common Model of Cognition.<\/p>\n\n\n\n<p>Nico is interested in the mutual relationship of validating computational theories with experimental data, how humans construct and reason over mental models, and how individuals differ in microstrategy preferences.<\/p>\n\n\n\n<p>Spencer\u2019s research focuses on the development and validation of theories of causal reasoning, memory representation, and planning at the intersection of human and artificial intelligence.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Date:&nbsp;27 September 2023 @3:00PM-04:00PM Title:&nbsp;Modeling Cognition with Computational Architectures Location:&nbsp;Online &amp; DT 2203 Abstract: Cognitive architectures are useful for the validation of new findings with prior, empirically supported theories of cognition and psychology. Additionally, they provide a roadmap for developing more human-like artificial intelligence. By modeling research on mental models, we can demonstrate consistency across [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"class_list":["post-15140","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":{"cu_post_thumbnail":"event-lecture-2"},"_links":{"self":[{"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/posts\/15140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/comments?post=15140"}],"version-history":[{"count":1,"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/posts\/15140\/revisions"}],"predecessor-version":[{"id":15141,"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/posts\/15140\/revisions\/15141"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/media?parent=15140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/categories?post=15140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carleton.ca\/cognitivescience\/wp-json\/wp\/v2\/tags?post=15140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}