dc.contributor |
Faculty of Law |
|
dc.creator |
Engle, Eric |
|
dc.date |
2005 |
|
dc.date |
2016-06-27T19:04:05Z |
|
dc.date |
2016-06-27T19:04:05Z |
|
dc.date |
2005 |
|
dc.date |
2008 |
|
dc.date.accessioned |
2023-03-03T07:26:36Z |
|
dc.date.available |
2023-03-03T07:26:36Z |
|
dc.identifier |
eprint:346 |
|
dc.identifier |
http://hdl.handle.net/10919/71606 |
|
dc.identifier |
http://www.geocities.com/eric.engle/msc.htm |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/281939 |
|
dc.description |
Uses rule based AI (forward and backward chaining) to model legal decision making by judges. |
|
dc.description |
AI to model legal decision making (c) Eric Engle |
|
dc.format |
application/msword |
|
dc.format |
application/msword |
|
dc.language |
en |
|
dc.relation |
http://www.geocities.com/dr.ericengle/AI.zip |
|
dc.rights |
In Copyright |
|
dc.rights |
http://rightsstatements.org/vocab/InC/1.0/ |
|
dc.subject |
law |
|
dc.subject |
artificial intelligence |
|
dc.subject |
legal |
|
dc.subject |
juridical |
|
dc.subject |
jurist |
|
dc.subject |
expert system |
|
dc.subject |
rule based |
|
dc.subject |
forward |
|
dc.subject |
backward |
|
dc.subject |
chaining |
|
dc.subject |
K1 |
|
dc.subject |
QA76 |
|
dc.title |
Artificial Intelligence and Law Using Rule Based Expert Systems |
|
dc.type |
Thesis |
|