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dc.contributor.authorJennings, David Mitchell
dc.date.accessioned2014-03-04T21:59:00Z
dc.date.available2014-03-04T21:59:00Z
dc.date.issued2002-08
dc.identifier.otherjennings_david_m_200208_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/jennings_david_m_200208_ms
dc.identifier.urihttp://hdl.handle.net/10724/29209
dc.description.abstractThe logic programming principles of Expert Systems (ESs) allow for the construction of an ES engine that both functions correctly from a theoretical point of view and complies with the generally accepted principles of good Web design. Thus I built JXSHELL, a Web-based ES architecture, as a platform for multiple ES deployment over the Web. JXSHELL includes a clear model for ES development that strictly separates knowledge base logic and interface logic, and JXSHELL-based deployments involve a minimum of server-side and client-side processor load.
dc.languageJXSHELL : a Web-based Expert System platform
dc.publisheruga
dc.rightspublic
dc.subjectExpert systems
dc.subjectLogic programming
dc.subjectWeb applications
dc.subjectProlog
dc.subjectJava
dc.subjectXML
dc.subjectXSL
dc.subjectXSLT
dc.titleJXSHELL : a Web-based Expert System platform
dc.typeThesis
dc.description.degreeMS
dc.description.departmentArtificial Intelligence Center
dc.description.majorArtificial Intelligence
dc.description.advisorDonald Nute
dc.description.committeeDonald Nute
dc.description.committeeCharles Cross
dc.description.committeeMichael Covington


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