Artificial Intelligence and Law Using Rule Based Expert Systems
dc.contributor.author | Engle, Eric | en |
dc.contributor.department | Faculty of Law | en |
dc.date | 2005 | en |
dc.date.accessioned | 2016-06-27T19:04:05Z | en |
dc.date.available | 2016-06-27T19:04:05Z | en |
dc.date.issued | 2005 | en |
dc.date.submitted | 2008 | en |
dc.description.abstract | Uses rule based AI (forward and backward chaining) to model legal decision making by judges. | en |
dc.description.notes | AI to model legal decision making (c) Eric Engle | en |
dc.format.mimetype | application/msword | en |
dc.identifier | eprint:346 | en |
dc.identifier.sourceurl | http://www.geocities.com/eric.engle/msc.htm | en |
dc.identifier.uri | http://hdl.handle.net/10919/71606 | en |
dc.language.iso | en | en |
dc.relation.uri | http://www.geocities.com/dr.ericengle/AI.zip | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | law | en |
dc.subject | artificial intelligence | en |
dc.subject | legal | en |
dc.subject | juridical | en |
dc.subject | jurist | en |
dc.subject | expert system | en |
dc.subject | rule based | en |
dc.subject | forward | en |
dc.subject | backward | en |
dc.subject | chaining | en |
dc.subject.lcc | K1 | en |
dc.subject.lcc | QA76 | en |
dc.title | Artificial Intelligence and Law Using Rule Based Expert Systems | en |
dc.type | Thesis | en |
thesis.degree.grantor | Universitaet Bremen | en |
thesis.degree.level | masters | en |
thesis.degree.name | MSc | en |
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