{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T19:25:45Z","timestamp":1746732345915},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2003,8,7]],"date-time":"2003-08-07T00:00:00Z","timestamp":1060214400000},"content-version":"unspecified","delay-in-days":187,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2003,2]]},"abstract":"<jats:p>The configuration task is commonly defined as composing a \ncomplex product from a set of predefined component types \nwhile taking into account a set of well-defined restrictions on how \ncomponents belonging to these types can be combined. Configuration, \nalways a successful artificial intelligence (AI) application area ever \nsince the R1\/XCON system of the early 1980s, has recently attracted \nrenewed research interest. This is also demonstrated by an annual \nseries of workshops on configuration that have been held at the AAAI, \nECAI, and IJCAI conferences since 1999. Important real-world industrial \nconfiguration tasks are encountered in marketing, manufacturing, and \ndesign. They usually involve physical products, such as \ntelecommunication switches, computers, elevators, large diesel engines, \nautomation systems, or vehicles (some of which appear as application \ndomains in the articles in this issue), but can also pertain to \nfinancial or other services or software.<\/jats:p>","DOI":"10.1017\/s0890060403171016","type":"journal-article","created":{"date-parts":[[2003,10,24]],"date-time":"2003-10-24T11:05:32Z","timestamp":1066993532000},"page":"1-2","source":"Crossref","is-referenced-by-count":5,"title":["Special Issue: Configuration"],"prefix":"10.1017","volume":"17","author":[{"given":"TIMO","family":"SOININEN","sequence":"first","affiliation":[]},{"given":"MARKUS","family":"STUMPTNER","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2003,8,7]]},"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\/S0890060403171016","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,30]],"date-time":"2019-03-30T15:39:34Z","timestamp":1553960374000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060403171016\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,2]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2003,2]]}},"alternative-id":["S0890060403171016"],"URL":"https:\/\/doi.org\/10.1017\/s0890060403171016","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,2]]}}}