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dc.contributor.authorEngle, Eric
dc.date.accessioned2016-06-27T19:04:05Z
dc.date.available2016-06-27T19:04:05Z
dc.date.submitted2008
dc.identifiereprint:346
dc.identifier.urihttp://hdl.handle.net/10919/71606
dc.description.abstractUses rule based AI (forward and backward chaining) to model legal decision making by judges.en_US
dc.format.mimetypeapplication/msworden_US
dc.language.isoenen_US
dc.relation.urihttp://www.geocities.com/dr.ericengle/AI.zip
dc.subjectlawen_US
dc.subjectartificial intelligenceen_US
dc.subjectlegalen_US
dc.subjectjuridicalen_US
dc.subjectjuristen_US
dc.subjectexpert systemen_US
dc.subjectrule baseden_US
dc.subjectforwarden_US
dc.subjectbackwarden_US
dc.subjectchainingen_US
dc.subject.lccK1
dc.subject.lccQA76
dc.titleARTIFICIAL INTELLIGENCE AND LAW USING RULE BASED EXPERT SYSTEMSen_US
dc.typeThesisen_US
dc.contributor.departmentFaculty of Lawen_US
dc.description.notesAI to model legal decision making (c) Eric Engle
thesis.degree.nameMScen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorUniversitaet Bremenen_US
dc.identifier.sourceurlhttp://www.geocities.com/eric.engle/msc.htmen_US


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