Search | Previous : 730-412 | Next : 730-360
Handbook 1997 : Faculty of Law : Law

730-371 Law and Artificial Intelligence

Availability:

Not offered in 1997.

Credit Points:

10

Prerequisite/s:

History and Philosophy of Law; Torts and the Process of Law.

Contact:

2 hours per week.

Subject Description:

The nature of legal reasoning and argument. Consideration of the rule-governed structure, or otherwise, of common law. Analysis of legal cases and the doctrine of precedent in terms of computational representation. How legal reasoning and argument may be represented computationally. Theories of knowledge representation and artificial intelligence. Object-oriented systems and rule-based systems. Case-based reasoning. Technological advances, including intelligent databases and the medium of hypertext. Approximately 1/3 of class time will be spend in the computer laboratory working on the creation of expert systems under the guidance of the instructor.

Assessment:

Expert system construction (includes system analysis exercises, system design, implementation and documentation) (50%) and Final Exam 3 hours (50%).

Prescribed Texts:

Printed Materials will be issued by the Law School.

  • Zeleznikov J & Hunter D, Building Intelligent Legal Information Systems, Kluwer, Law & Taxation Publishers ISBN 90 6544 833 0.
Search | Previous : 730-412 | Next : 730-360
Handbook 1997 : Faculty of Law : Law 
Status:                   OFFICIAL 1997
Last Modified:            Wednesday March 12 3:36 pm
SGML to HTML Conversion:  Information Technology Services
Authorised by:            Academic Registrar
Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.