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dc.contributor.authorEngle, Ericen
dc.date2005en
dc.date.accessioned2016-06-27T19:04:05Zen
dc.date.available2016-06-27T19:04:05Zen
dc.date.submitted2008en
dc.identifiereprint:346en
dc.identifier.urihttp://hdl.handle.net/10919/71606en
dc.description.abstractUses rule based AI (forward and backward chaining) to model legal decision making by judges.en
dc.format.mimetypeapplication/msworden
dc.language.isoenen
dc.relation.urihttp://www.geocities.com/dr.ericengle/AI.zipen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectlawen
dc.subjectartificial intelligenceen
dc.subjectlegalen
dc.subjectjuridicalen
dc.subjectjuristen
dc.subjectexpert systemen
dc.subjectrule baseden
dc.subjectforwarden
dc.subjectbackwarden
dc.subjectchainingen
dc.subject.lccK1en
dc.subject.lccQA76en
dc.titleArtificial Intelligence and Law Using Rule Based Expert Systemsen
dc.typeThesisen
dc.contributor.departmentFaculty of Lawen
dc.description.notesAI to model legal decision making (c) Eric Engleen
thesis.degree.nameMScen
thesis.degree.levelmastersen
thesis.degree.grantorUniversitaet Bremenen
dc.identifier.sourceurlhttp://www.geocities.com/eric.engle/msc.htmen


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