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Article: Using meta-level knowledge in the design of offshore structures

TitleUsing meta-level knowledge in the design of offshore structures
Authors
Issue Date1989
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai
Citation
Engineering Applications Of Artificial Intelligence, 1989, v. 2 n. 3, p. 228-237 How to Cite?
AbstractThe design of offshore structures is a complex iterative process involving a very diversified range and depth of knowledge. A major portion of this knowledge is factual and algorithmic in nature. Yet, as in other engineering design, the creativity and success of design is possible only through the extensive experience of the designers, utilizing this factual and algorithmic knowledge. This generally heuristic and non-algorithmic experience forms a relatively small proportion of the knowledge used in design. A usable knowledge-based engineering system for the design of offshore structures must be able to operate quickly enough, without any deterioration in the quality of the solutions. The 'number crunching' involved in the factual and algorithmic knowledge quickly leads to a combinatorial explosion. We need to use the heuristic knowledge to rapidly reduce the many possibilities in design. In this way, a usable system which uses multi-level reasoning about a huge volume of diversified knowledge can be constructed. In this paper, we examine the feasibility of using meta-level knowledge to swiftly narrow the search for quality designs. We describe a system, IPDOJS (Interactive Preliminary Design of Offshore Jacket Structures), to illustrate the use of such metal-level knowledge. © 1989.
Persistent Identifierhttp://hdl.handle.net/10722/156807
ISSN
2015 Impact Factor: 2.368
2015 SCImago Journal Rankings: 1.371

 

DC FieldValueLanguage
dc.contributor.authorSoh, CKen_US
dc.contributor.authorSoh, AKen_US
dc.date.accessioned2012-08-08T08:44:03Z-
dc.date.available2012-08-08T08:44:03Z-
dc.date.issued1989en_US
dc.identifier.citationEngineering Applications Of Artificial Intelligence, 1989, v. 2 n. 3, p. 228-237en_US
dc.identifier.issn0952-1976en_US
dc.identifier.urihttp://hdl.handle.net/10722/156807-
dc.description.abstractThe design of offshore structures is a complex iterative process involving a very diversified range and depth of knowledge. A major portion of this knowledge is factual and algorithmic in nature. Yet, as in other engineering design, the creativity and success of design is possible only through the extensive experience of the designers, utilizing this factual and algorithmic knowledge. This generally heuristic and non-algorithmic experience forms a relatively small proportion of the knowledge used in design. A usable knowledge-based engineering system for the design of offshore structures must be able to operate quickly enough, without any deterioration in the quality of the solutions. The 'number crunching' involved in the factual and algorithmic knowledge quickly leads to a combinatorial explosion. We need to use the heuristic knowledge to rapidly reduce the many possibilities in design. In this way, a usable system which uses multi-level reasoning about a huge volume of diversified knowledge can be constructed. In this paper, we examine the feasibility of using meta-level knowledge to swiftly narrow the search for quality designs. We describe a system, IPDOJS (Interactive Preliminary Design of Offshore Jacket Structures), to illustrate the use of such metal-level knowledge. © 1989.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappaien_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.titleUsing meta-level knowledge in the design of offshore structuresen_US
dc.typeArticleen_US
dc.identifier.emailSoh, AK:aksoh@hkucc.hku.hken_US
dc.identifier.authoritySoh, AK=rp00170en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-30744477854en_US
dc.identifier.volume2en_US
dc.identifier.issue3en_US
dc.identifier.spage228en_US
dc.identifier.epage237en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridSoh, CK=7102818722en_US
dc.identifier.scopusauthoridSoh, AK=7006795203en_US

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