{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T14:11:46Z","timestamp":1648822306026},"reference-count":16,"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":6146,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[1992,5]]},"abstract":"<jats:p>The concept of discretization of a design space is used to make initial selection of prior designs using specification matching, and to direct redesign with evaluation and iteration. A general paradigm for routine design has been developed and implemented in a system called IDS (Initial Design Selection.) For a given design domain, certain characteristics are identified that allow all specifications and models (which represent prior designs) in that design domain to be described in terms of their values or intervals that these values may lie in. These characteristics are seen as dimensions of a design space discretized into a finite number of partitions. Each partition is represented by a model, thought of as occupying its center. Each such model is associated with a deep model, which contains sufficient information for the modeled device, process, or system to be realized. Despite the fact that the models inhabiting the space are shallow, the paradigm comprises a relatively rich mathematical structure. This paper describes in detail a computational methodology to implement this domain-independent paradigm. The IDS paradigm presents a convenient and structured framework for acquiring and representing domain knowledge. This paper also briefly discusses an enhanced version of the system, which attempts iterative redesign directed by the particular mismatch between a specification and an otherwise promising model. To date, this methodology has been applied in a variety of design domains, including mechanism design, hydraulic component selection, assembly methods, and non-destructive testing methods.<\/jats:p>","DOI":"10.1017\/s0890060400002973","type":"journal-article","created":{"date-parts":[[2010,3,31]],"date-time":"2010-03-31T13:48:11Z","timestamp":1270043291000},"page":"73-93","source":"Crossref","is-referenced-by-count":1,"title":["A general paradigm for routine design\u2014theory and implementation"],"prefix":"10.1017","volume":"6","author":[{"given":"Albert","family":"Esterline","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sridhar","family":"Kota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2009,2,27]]},"reference":[{"key":"S0890060400002973_ref014","unstructured":"Sycara K. P. and Navinchandra D. 1989 b. Representing and indexing design cases. Proceedings of the 2nd International Conference on Industrial & Engineering Applications of AI and Expert Systems, pp. 735\u2013741."},{"key":"S0890060400002973_ref013","first-page":"231","volume-title":"Artificial Intelligence in Design: Proceedings of the Fourth International Conference on the Applications of Artificial Intelligence in Engineering","author":"Sycara","year":"1989"},{"key":"S0890060400002973_ref004","first-page":"872","volume-title":"Proceedings of the AAAl 86, 5th National Conference on Artificial Intelligence","author":"Dixon","year":"1986"},{"key":"S0890060400002973_ref003","unstructured":"Dixon J. R. and Simmons M. K. 1984. Expert systems for engineering design: standard V-belt drive design as an example of the design-evaluate-redesign architecture, Proceedings of the 1984 ASME International Computers in Engineering Conference and Exhibition, pp. 332\u2013337."},{"key":"S0890060400002973_ref011","first-page":"996","volume-title":"AAAl 86, 5th National Conference on Artificial Intelligence","author":"Slagle","year":"1986"},{"key":"S0890060400002973_ref002","unstructured":"Brown D. C. and Chandrasekharan B. 1985. Knowledge and Control for Design Problem Solving. Technical Report, Ohio State University, Laboratory for Artificial Intelligence Research."},{"key":"S0890060400002973_ref012","unstructured":"Snavely G. L. , Pomrehn L. P. and Papalambros P. Y. 1990. Toward a vocabulary for classifying research in mechanical design automation. 1st International Workshop on Formal Methods in Engineering Design, Manufacturing and Assembly, pp. 1\u201318."},{"key":"S0890060400002973_ref001","unstructured":"Brown D. C. and Chandrasekharan B. 1984. Expert systems for a class of mechanical design activity. IFIP WG5.2, Working Conference on AI in CAD, pp. 259\u2013282."},{"key":"S0890060400002973_ref016","unstructured":"Verrilli R. J. , Meunier K. L. and Dixon J. R. 1988. Iterative respecification: a computational model for hierarchical mechanical systems design. Proceedings of the 1988 ASME International Computers in Engineering Conference and Exhibition, pp. 25\u201332."},{"key":"S0890060400002973_ref005","doi-asserted-by":"publisher","DOI":"10.4271\/900070"},{"key":"S0890060400002973_ref008","doi-asserted-by":"publisher","DOI":"10.4271\/900818"},{"key":"S0890060400002973_ref006","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-21626-2_25"},{"key":"S0890060400002973_ref007","unstructured":"Kota S. and Lee C. 1990. A functional framework for hydraulic systems design using abstraction\/decomposition hierarchies, Proceedings of the 1990 ASME International Computers in Engineering Conference, pp. 327\u2013340."},{"key":"S0890060400002973_ref010","volume-title":"The Sciences of the Artificial","author":"Simon","year":"1981"},{"key":"S0890060400002973_ref009","first-page":"57","article-title":"What is AI, anyway?","volume":"8","author":"Shank","year":"1987","journal-title":"AI Magazine"},{"key":"S0890060400002973_ref015","unstructured":"Verrilli R. J. , Meunier K. L. and Dixon J. R. 1987. Iterative respecification management: a model for problem-solving networks in mechanical design. Proceedings of the 1987 ASME International Computers in Engineering Conference and Exhibition, pp. 103\u2013112."}],"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\/S0890060400002973","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T21:46:41Z","timestamp":1558043201000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060400002973\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,5]]},"references-count":16,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1992,5]]}},"alternative-id":["S0890060400002973"],"URL":"https:\/\/doi.org\/10.1017\/s0890060400002973","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,5]]}}}