{"pk":31691,"title":"A Model-based Approach to Learning from Attention-focusing Failures","subtitle":null,"abstract":"In this paper we present a theory of how\nmachines can learn from attention focusing\nfailures. Our method requires that learning\nmechanisms have available a detailed model\nof decision-making mechanisms they are to\nmodify; it is therefore central to this research\nto develop and present such a model. The\nportions of our developing model presented\nbelow concern those parts of a decision-making\napparatus that should be approximately the\nsame & somone agent to another. Though\nlearning mechanisms would have to be sensitive\nto both the idiosyncratic and agent-invariant\nelements of aji cidaptable decision architecture,\nw e have concentrated on the invariant elements,\nwhich provide the most general constraints on\nlearning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Submitted Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1f58d9zg","frozenauthors":[{"first_name":"Michael","middle_name":"","last_name":"Freed","name_suffix":"","institution":"Northwestern University","department":""},{"first_name":"Gregg","middle_name":"","last_name":"Collins","name_suffix":"","institution":"Northwestern University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1993-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31691/galley/22759/download/"}]}