{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,4,8]],"date-time":"2023-04-08T16:27:45Z","timestamp":1680971265971},"reference-count":31,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2009,2,27]],"date-time":"2009-02-27T00:00:00Z","timestamp":1235692800000},"content-version":"unspecified","delay-in-days":5536,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[1994]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>One method for making analogies is to access and instantiate abstract domain principles, and one method for acquiring knowledge of abstract principles is to discover them from experience. We view generalization over experiences in the absence of any prior knowledge of the target principle as the task of hypothesis formation, a subtask of discovery. Also, we view the use of the hypothesized principles for analogical design as the task of hypothesis testing, another subtask of discovery. In this paper, we focus on discovery of physical principles by generalization over design experiences in the domain of physical devices. Some important issues in generalization from experiences are what to generalize from an experience, how far to generalize, and what methods to use. We represent a reasoner's comprehension of specific designs in the form of structure-behavior-function (SBF) models. An SBF model provides a functional and causal explanation of the working of a device. We represent domain principles as device-independent behavior-function (BF) models. We show that (1) the function of a device determines what to generalize from its SBF model, (2) the SBF model itself suggests how far to generalize, and (3) the typology of functions indicates what method to use.<\/jats:p>","DOI":"10.1017\/s0890060400000718","type":"journal-article","created":{"date-parts":[[2010,3,31]],"date-time":"2010-03-31T13:47:22Z","timestamp":1270043242000},"page":"113-123","source":"Crossref","is-referenced-by-count":17,"title":["Discovery of physical principles from design experiences"],"prefix":"10.1017","volume":"8","author":[{"given":"Sambasiva R.","family":"Bhatta","sequence":"first","affiliation":[]},{"given":"Ashok K.","family":"Goel","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2009,2,27]]},"reference":[{"key":"S0890060400000718_ref004","unstructured":"Bhatta S. , & Goel A. (1992). Use of mental models for constraining index learning in experience-based design. Proc. 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Ph.D. thesis, Georgia Institute of Technology, School of Information and Computer Science, Atlanta, GA."},{"key":"S0890060400000718_ref025","first-page":"87","volume-title":"Proceedings of the ML-92 Workshop on \u201cMachine Discovery,\u201d","author":"Roverso","year":"1992"},{"key":"S0890060400000718_ref018","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog1201_1"},{"key":"S0890060400000718_ref016","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-322060-8.50018-8"},{"key":"S0890060400000718_ref020","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/6090.001.0001","volume-title":"Scientific Discovery: An Account of the Creative Processes","author":"Langley","year":"1987"},{"key":"S0890060400000718_ref005","unstructured":"Bhatta S. , & Goel A. (1993). Model-based learning of structural indices to design cases. Proc. 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Computational Models of Creative Design, 101\u2013128."},{"key":"S0890060400000718_ref026","first-page":"47","volume-title":"Experience, Memory and Reasoning","author":"Sembugamoorthy","year":"1986"},{"key":"S0890060400000718_ref028","doi-asserted-by":"publisher","DOI":"10.1145\/359038.359042"},{"key":"S0890060400000718_ref009","volume-title":"Thermodynamics","author":"Fermi","year":"1937"},{"key":"S0890060400000718_ref022","doi-asserted-by":"publisher","DOI":"10.1207\/s15327809jls0102_2"},{"key":"S0890060400000718_ref008","doi-asserted-by":"publisher","DOI":"10.1007\/BF00114868"},{"key":"S0890060400000718_ref010","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0702_3"},{"key":"S0890060400000718_ref011","first-page":"26","article-title":"Design prototypes: A knowledge representation schema for design","volume":"11","author":"Gero","year":"1990","journal-title":"AI Magazine"},{"key":"S0890060400000718_ref012","unstructured":"Goel A. (1989). Integration of Case-Based Reasoning and Model-Based Reasoning for Adaptive Design Problem Solving. Ph.D. thesis, The Ohio State University, Department of Computer and Information Science, Columbus, Ohio."},{"key":"S0890060400000718_ref014","doi-asserted-by":"crossref","unstructured":"Goel A. (1991 b). Model revision: A theory of incremental model learning. In Proc. Eighth Int. Conf. Machine Learning, 605\u2013609.","DOI":"10.1016\/B978-1-55860-200-7.50123-9"},{"key":"S0890060400000718_ref015","first-page":"283","volume-title":"Intelligent Computer Aided Design","author":"Goel","year":"1992"},{"key":"S0890060400000718_ref017","unstructured":"Kerr S. , & Duffy A. (1992). Dynamic memory by automating rationalization of past designs. Proc. AID'92 Workshop, \u201cMachine Learning in Design,\u201d 28\u201330."},{"key":"S0890060400000718_ref019","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog1304_2"},{"key":"S0890060400000718_ref002","doi-asserted-by":"publisher","DOI":"10.1109\/64.21892"},{"key":"S0890060400000718_ref021","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116250"},{"key":"S0890060400000718_ref024","volume-title":"Inside Case-Based Reasoning","author":"Riesbeck","year":"1989"},{"key":"S0890060400000718_ref031","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-934613-41-5.50032-5"},{"key":"S0890060400000718_ref029","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(82)90004-2"},{"key":"S0890060400000718_ref007","doi-asserted-by":"publisher","DOI":"10.1007\/BF00114116"},{"key":"S0890060400000718_ref030","first-page":"45","volume-title":"Machine Learning: An Artificial Intelligence Approach","author":"Winston","year":"1986"},{"key":"S0890060400000718_ref003","unstructured":"Bhatta S. (1992). A model-based approach to analogical reasoning and learning in design. Technical Report GIT-CC-92\/60, Georgia Institute of Technology, College of Computing, Atlanta, GA, November. Ph.D. Thesis Proposal."}],"container-title":["Artificial Intelligence for Engineering Design, Analysis and Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0890060400000718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,3]],"date-time":"2020-06-03T12:03:16Z","timestamp":1591185796000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060400000718\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1994]]},"references-count":31,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1994]]}},"alternative-id":["S0890060400000718"],"URL":"https:\/\/doi.org\/10.1017\/s0890060400000718","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[1994]]}}}