{"pk":32865,"title":"Learning, Memory, and Search in Planning","subtitle":null,"abstract":"This paper describes D^DALUS, a system that uses a variant of means-ends analysis to generate plans and uses an incremental learning algorithm to acquire probabilistic search heuristics from problem solutions. W e summarize DjEDALUS' approach to search, knowledge, organization, and learning, and examine its behavior on multi-column subtraction. W e then evaluate the system in terms of its consistency with known results on human problem solving, comparing it to other psychological models of learntng and planning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Paper Presentations -- Problem Solving and Transfer","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1f49r40x","frozenauthors":[{"first_name":"Pat","middle_name":"","last_name":"Langley","name_suffix":"","institution":"NASA Ames Research Center","department":""},{"first_name":"John","middle_name":"A.","last_name":"Allen","name_suffix":"","institution":"NASA Ames Research Center","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1991-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/32865/galley/23925/download/"}]}