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{ "pk": 32828, "title": "A Model-Based Approach to Case Adaptation", "subtitle": null, "abstract": "In case-based reasoning, a given problem is solved by adapting the solutions to similar problems encountered in the past. A major task in case-based problem solving is to generate modifications that are useful for adapting a previous solution to solve the present problem. We describe a model-based method that uses qualitative models of cjises for generating useful modifications. The qualitative model of a case expresses a problem solver's comprehension of how the solution satisfies the constraints of the problem. We illustrate the model based method in the context of case-based design of physical devices. A designer's understanding of how the structure of a previously encountered design produces its functions is expressed in the form of a function structure model. The functional differences between a given problem and a specific case are mapped into structural modifications by a family of modification generation plans. Each plan is applicable to a specific type of functional difference, and uses the function structure model to identify the specific components that need to be modified. We discuss the evaluation of this model-based method in", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Paper Presentations -- Case Representation and Adoptation", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/3hr72201", "frozenauthors": [ { "first_name": "Ashok", "middle_name": "K.", "last_name": "Goel", "name_suffix": "", "institution": "Georgia Institute of Technology", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1991-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32828/galley/23888/download/" } ] }