{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T18:25:39Z","timestamp":1735583139286},"reference-count":66,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2013,8,13]],"date-time":"2013-08-13T00:00:00Z","timestamp":1376352000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cognitive Science"],"published-print":{"date-parts":[[2014,3]]},"abstract":"Abstract<\/jats:title>Human control of action in routine situations involves a flexible interplay between (a) task\u2010dependent serial ordering constraints; (b) top\u2010down, or intentional, control processes; and (c) bottom\u2010up, or environmentally triggered, affordances. In addition, the interaction between these influences is modulated by learning mechanisms that, over time, appear to reduce the need for top\u2010down control processes while still allowing those processes to intervene at any point if necessary or if desired. We present a model of the acquisition and control of goal\u2010directed action that goes beyond existing models by operationalizing an interface between two putative systems\u2014a routine and a non\u2010routine system\u2014thereby demonstrating how explicitly represented goals can interact with the emergent task representations that develop through learning in the routine system. The gradual emergence of task representations offers an explanation for the transfer of control with experience from the non\u2010routine goal\u2010based system to the routine system. At the same time it allows action selection to be sensitive both to environmental triggers and to biasing from multiple levels within the goal system.<\/jats:p>","DOI":"10.1111\/cogs.12067","type":"journal-article","created":{"date-parts":[[2013,8,13]],"date-time":"2013-08-13T13:27:20Z","timestamp":1376400440000},"page":"244-274","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["The Goal Circuit Model: A Hierarchical Multi\u2010Route Model of the Acquisition and Control of Routine Sequential Action in Humans"],"prefix":"10.1111","volume":"38","author":[{"given":"Richard P.","family":"Cooper","sequence":"first","affiliation":[{"name":"Centre for Cognitive and Computational Modelling Department of Psychological Sciences Birkbeck, University of London"}]},{"given":"Nicolas","family":"Ruh","sequence":"additional","affiliation":[{"name":"Centre for Cognitive and Computational Modelling Department of Psychological Sciences Birkbeck, University of London"}]},{"given":"Denis","family":"Mareschal","sequence":"additional","affiliation":[{"name":"Centre for Cognitive and Computational Modelling Department of Psychological Sciences Birkbeck, University of London"}]}],"member":"311","published-online":{"date-parts":[[2013,8,13]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"39","article-title":"Memory for goals: An activation\u2010based model","volume":"26","author":"Altmann E. 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