This dissertation adopts an interdisciplinary approach to
the field of law and artificial intelligence. It argues
that the conceptual structuring of legal knowledge within an
appropriate theoretical framework is of primary importance
when building knowledge-based systems. While technical
considerations also play a role, they must take second place
to an in-depth understanding of the law.
Two alternative methods of structuring legal knowledge in
very different domains are used to explore the thesis. A
deep-structure approach is used on nervous shock, a rather
obscure area of the law of negligence. A script-based
method is applied to impaired driving, a well-known part of
the criminal law. A knowledge-based system is implemented
in each area. The two systems, Nervous Shock Advisor (NSA)
and Impaired Driving Advisor (IDA), and the methodologies
they embody, are described and contrasted.
In light of the work undertaken, consideration is given to
the feasibility of lawyers without much technical knowledge
using general-purpose tools to build knowledge-based systems
for themselves.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/6998 |
| Date | 05 1900 |
| Creators | Deedman, Galvin Charles |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Relation | UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/] |
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