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Expert systems in law: The datalex project
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 1st international conference on Artificial intelligence and law table of contents
Boston, Massachusetts, United States
Pages: 9 - 17  
Year of Publication: 1987
ISBN:0-89791-230-6
Authors
G. Greenleaf  Univ. of New South Wales
A. Mowbray  New South Wales Institute of Technology
A. L. Tyree  Univ. of Sydney
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 30,   Citation Count: 5
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Faculty of Law, University of New South Wales.
 
2
Faculty of Law, New South Wales institute of Technology.
 
3
Faculty of Law, University of Sydney.
 
4
See, for example, Hayes-Roth, F, Waterman, D A and Lenat D B (eds) Building Expert Systems, Addison- Wesley, 1983.
 
5
Michie and Johnston, The Creative Computer, Pelican, 1984
6
 
7
Commissio,ler of Inland Revenue v West-Walker {1954} NZLR 191. The statute is section 163 of the Lnad and Income Tax Act 1923 as re-enacted by s. 12, Finance Act (No 2) 1948.
 
8
 
9
 
10
Indeed, the standard rules are entirely contradictory, a fact which is acknowledged in the aphorism that rules of statutory interpretation "hunt in pairs".
 
11
Pearce, DC Statutory Interpretation in Australia (2nd Ed, Butterworths.
 
12
Stone, J Precedent and Law, 1985, Butterworths, Sydney.
 
13
Of course, the idea of intelligent pre-processors is not new. See Bin8 J Ha,dbook o/Legal ht/ormation Retrieval, 1984, Elsevier, Amsterdam. And some of the most important expert systems work has been directed toward "intelligent" information retrieval; see Hafner, C Art ht/ormatiott Retrieval System Based o, a Computer Model o/Legal Kttowledge, UM! Research Press.
 
14
(1929) 34 Corn Cas 263.
 
15
at p273.
 
16
"...the best drafted Act of Parliament ever passed", BatTk Polski v K J Mulder & Co {1942} I KB 497, 500, per MacKinnon LJ.
 
17
McCarty, T "Intelligent Legal Information Systems:' Problems and Prospects" in Campbell, C (ed) Data Processing and the Law, Sweet and Maxwell, 1984, London,
 
18
Susskind, R E "Expert Systems in Lawi a jurisprudential approach to artificial intelligence and legal reasoning" {1986} Mod L Rev 168, 185-6.
 
19
 
20
This finding is, of course, not inconsistent with the experiences in other fields. It is the essential reason for the existence of the knowledge engineer.
 
21
LONGARM, a system which advises on the availability of service of originating process outside the jurisdiction of New South Wales. The system was built by students at the University of Sydney.
 
22
Susskind, R E "Expert Systems in Law: a jurisprudential approach to artificial intelligence and legal reasoning" {1986} Mod L Rev 168, 185.
 
23
The system determines if the client actually has a problem which falls within the jurisdiction of a part of the Trade Practices Act 1974. It was built by Sydney solicitor Philip Argy who is the expert whose time was previously being used.
 
24
Susskind, R E "Expert Systems in Law: a jurisprudential approach to artificial intelligence and legal reasoning" {1986} Mod L Rev 168, 190.
 
25
Of course, it is possible to provide that control with a production rule model, but the methods are not easy or natural. Nor, it might be said, are they in conformity with the spirit of the production rule model.
 
26
See Cover, T M and Hart, P E "Nearest Neighbour Pattern Classification" iEEE Trans Inform Theory Vol IT-13, p21.
 
27
Tyree, "The Geometry of Case Law" (1977) 8 VUW L Rev 403; "Finders Keepers: a quantitative analysis of 'finders' cases" in Brook, et al (eds) The Fascination of Statistics, 1986, Marcel Dekker, New York, pp73- 88; "Will Justice Fall to Bits? Expert Systems in Law", (1986) 62. Current Affairs Bulletin 13-18
 
28
The primary classification technique is the nearest neighbour algorithm. The subsidiary methods concern classification aceordlng to nearest centroids of the sets of cases in the data base and a final check that the selected cases are not too near the boundaries.
 
29
Written by Andrew Mowbray. The information here is from Mowbray, "A AiRS Free Text Retrieval System (Pre-release information)" DATALEX Project, New South Wales Institute of Technology, Faculty of Law. See also Greenleaf, Mowbray and Tyree "Legal Expert Systems: Words, Words, Words...?", paper presented at the 1st Australian Artificial Intelligence Congress, Melbourne, 18-21 November 1986.
 
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31
iNTEST was written by Andrew Mowbray and Rosalind Atherton of the Faculty of Law, University of New South Wales.
 
32
COPYRITA is being developed by Graham Greenleaf and Philtip Griffith, Senior Lecturer in Law, New South Wales Institute of Technology with research assistance from Karen Lever B Juris, LL B (WA).
 
33
per Lord Goddard, Hibbert v McKierna, {1948} 2 KB 142,149


Collaborative Colleagues:
G. Greenleaf: colleagues
A. Mowbray: colleagues
A. L. Tyree: colleagues