{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T14:34:07Z","timestamp":1756996447226},"reference-count":14,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2009,2,27]],"date-time":"2009-02-27T00:00:00Z","timestamp":1235692800000},"content-version":"unspecified","delay-in-days":6966,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[1990,2]]},"abstract":"<jats:p>A blackboard based intelligent control system has been developed for a family of complex non-equilibrium materials processes. The system is being tested in the laboratory for control of a particular high risk, high value-added step in the manufacture of carbon-carbon composites. The system uses knowledge based methods in several fundamental ways to fill gaps left by control theory and process models. Most notable of these are (1) inferring from indirect measurements and history the process state at multiple, changing levels of abstraction, (2) anticipating problems and planning actions to reach goal (end of process) states, (3) selecting, executing and interpreting approximate models to predict process progression and (4) changing control objectives as the physical situation changes. The system has been demonstrated to substantially reduce processing time.<\/jats:p>","DOI":"10.1017\/s0890060400002249","type":"journal-article","created":{"date-parts":[[2010,3,31]],"date-time":"2010-03-31T09:48:47Z","timestamp":1270028927000},"page":"55-65","source":"Crossref","is-referenced-by-count":4,"title":["Intelligent control of complex materials processes"],"prefix":"10.1017","volume":"4","author":[{"given":"William J.","family":"Pardee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael A.","family":"Shaff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Hayes-Roth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2009,2,27]]},"reference":[{"key":"S0890060400002249_ref012","unstructured":"Pardee W. J. and Hayes-Roth B. 1987. Intelligent Control of Materials Processes, Rockwell Palo Alto Laboratory Technical Report 1."},{"key":"S0890060400002249_ref006","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(85)90063-3"},{"key":"S0890060400002249_ref005","first-page":"1","volume-title":"Blackboard Systems","author":"Engelmore","year":"1988"},{"key":"S0890060400002249_ref003","unstructured":"Corkill D. D. , Gallagher K. Q. and Johnson P. M. 1987. Achieving flexibility, efficiency, and generality in blackboard architectures. Proceedings of AAAI-87, 18\u201323."},{"key":"S0890060400002249_ref002","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(84)90008-0"},{"key":"S0890060400002249_ref007","first-page":"49","volume":"9","author":"Lesser","year":"1988","journal-title":"Al Magazine"},{"key":"S0890060400002249_ref014","unstructured":"Shaft M. A. 1989. The generic blackboard virtual machine. Proceedings of the Third Annual Workshop on Blackboard Systems, pp. 21\u201331."},{"key":"S0890060400002249_ref010","doi-asserted-by":"publisher","DOI":"10.1007\/BF00149015"},{"key":"S0890060400002249_ref004","unstructured":"D'Ambrosio B. , Fehling M. R. , Forrest S. , Raulefs P. and Wilber B. M. 1987. IEEE Expert, Summer, 80\u201393."},{"key":"S0890060400002249_ref001","first-page":"117","volume-title":"Proceedings of Detroit ReTec, SPE","author":"Abrams","year":"1987"},{"key":"S0890060400002249_ref008","unstructured":"Leclair S. R. 1986. Sensor Fusion: The Application of Artificial Intelligence to Process Control, Proceedings of Rochester FORTH Conference, pp. 187\u2013196."},{"key":"S0890060400002249_ref009","unstructured":"LeClair S. R. , Abrams F. L. , Lagnese T. J. , Lee C. W. and Parks J. B. 1987. Qualitative Process Automation for Autoclave Cure of Composite Parts: AFWAL-TR-87\u20134083, AFWAL\/MLTC, Wright-Patterson Air Force Base, OH."},{"key":"S0890060400002249_ref011","first-page":"38","article-title":"Blackboard systems: The blackboard model of problem solving and the evolution of blackboard architectures","volume":"7","author":"Nii","year":"1986","journal-title":"AI Magazine"},{"key":"S0890060400002249_ref013","unstructured":"Pardee W. J. and Shaff M. A. 1989. Intelligent real time carbonization control. In: Sohn H. Y. and Geskin E. S. , Eds: Metallurgical Processes for the Year 2000 and Beyond, 1989 TMS Annual Meeting, pp. 73\u201382. The Metallurgical Society."}],"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\/S0890060400002249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T17:59:03Z","timestamp":1558202343000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060400002249\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1990,2]]},"references-count":14,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1990,2]]}},"alternative-id":["S0890060400002249"],"URL":"https:\/\/doi.org\/10.1017\/s0890060400002249","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[1990,2]]}}}