{"pk":30878,"title":"Evaluating and Debugging Analogically Acquired Models","subtitle":null,"abstract":"We describe elements of a cognitive theory of analogical reasoning. The theory was developed using protocol data and has been implemented as a computer model. In order to constrain the theory, it has been developed within a problem-solving context, reflecting the purpose of analogical reasoning. This has allowed us to develop: A purpose-constrained mapping process which makes learning and debugging more tractable; An evaluation process that actively searches for bugs; And a debugging process that maintains functional aspects of base models, while adding target-appropriate causal explanations. The active, knowledge-based elements of our theory are characteristic of mechanisms needed to model complex problem-solving.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Paper Presentations -- Group 1: Reasoning","is_remote":true,"remote_url":"https://escholarship.org/uc/item/2577v3g8","frozenauthors":[{"first_name":"Beth","middle_name":"","last_name":"Adelson","name_suffix":"","institution":"Tufts University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1990-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30878/galley/20727/download/"}]}