T. J. M. Bench-Capon
ABSTRACT
This paper discusses the role of deep models and deontic logic in legal expert systems. Whilst much research work insists on the importance of both these features, legal expert systems are being built using shallow models and no more propositional logic, and are claimed to be successful in use. There is then a prima facie conflict between findings of research and commercial practice, which this paper explores, and attempts to explain.
- Bench-Capon 1987. T.J.M. Bench-Capon, G.O Robinson, T.W. Routen and M.J. Sergot, Logic Programming for Large Scale Applications in Law, 1st International Conference on AI and the Law, Boston, 1987 ACM Press. Google Scholar
Digital Library
- Bench-Capon 1988a. T.J.M. Bench-Capon, Logical Models of Legislation and Expert Systems, in Expert Systems and Law, H. Fiedler, F. Haft and T. Traunmuller (eds), Attempto Verlag, Tuebingen, 1988.Google Scholar
- Bench-Capon 1988b. T.J.M. Bench-Capon, Applying Legal Expert Systems Techniques: Practical Considerations, in KBS in Government 1988, P. Duffin (ed), Blenheim Online Publications, Pinner, 1988.Google Scholar
- Bench-Capon 1989a. T.J.M. Bench-Capon, Practical Legal Expert Systems: the Relationship Between a Formalisation of Law and Expert Knowledge, in M.Bennun and A.Narayanan (eds) Computers, Law and AI, Ablex, 1989.Google Scholar
- Bench-Capon 1989b. Representing Counteffactual Conditionals, Proceedings of Artificial Intelligence and the Simulation of Behaviour, Brighton 1989, A. Cohn (ed), Pitman, 1989. Google ScholarDigital Library
- Bobrow 1984. Bobrow, D., (ed) Qualitative Reasoning About Physical Systems, published as Artificial Intelligence Journal, vol 24, December, 1984.Google Scholar
- Capper and Susskind 1988. P. Capper and R.E. Susskind, Latent Damage Law - The Expert System, Butterworths, 1988.Google Scholar
- Herrestad 1988. H. Herrestad, Some problems Conceming the Representation of Legal Norms, 1st Scandinavian Conference on AI, 1988.Google Scholar
- Kow'alski and Sergot 1986. R.A Kowalski and M.J.Sergot, A Logic Based Calculus of Events, New Generation Computing, Vol 4, pp 67-95, Ohmsha Ltd and Springer-Verlag, 1986. Google ScholarDigital Library
- McCarty 1977. L.Thome McCarty, Reflections on TAXMAN: An Experiment in Artificial Intelligence and Legal Reasoning, Harvard Law Review 90, 837- 93.Google ScholarCross Ref
- McCarty 1983. L. Thome McCarty, Permissions and Obligations, Proceedings of the Eighth iJCAI, 1983.Google Scholar
- McCarty 1984. L. Thome McCarty, Intelligent Legal Information Systems: Problems and Prospects, in Data Processing and the Law, C.Campbell (ed), Sweet and Maxwell, London 1984.Google Scholar
- Rissland and Ashley 1987. E.L.Rissland and K.D.Ashley, A Case-Based System for Trade Secrets Law, 1st International Conference on AI and the Law, Boston 1987. ACM Press. Google ScholarDigital Library
- Sergot 1985. MJ. Sergot, Representing,Legislation as Logic Programs, in Machine intelligence 11, Oxford University Press, 1985. The position is also expressed in numerous other papers from the group. Google ScholarDigital Library
- Sergot 1986. M.J. Sergot, H.T. Cory, P. Hammond, R.A. Kowalski, F. Kdwaczek, and F. Sadri, Formalisation of the British Nationality Act. In Yearbook of Law, Computers and Technology, Vol 2, C.Amold (ed), Butterworths, London 1986.Google Scholar
- Springel-Sinclair and Trevena 1988. S. Springel- Sinclair and G. Trevena, The DHSS Retirement Pension Forecast and Advice System, in P.Duffin (ed) Knowledge Based Systems: Applications in Administrative Government, Ellis Horwood, Chichester, 1988. Google ScholarDigital Library
- Susskind 1987. R.E. Susskind, Expert Systems in Law, Clarendon Press, Oxford, 1987. Google ScholarDigital Library
- Susskind 1988. R.E. Susskind, Government Applications of Expert Systems in Law. In P.Duffin (ed) KBS in Government 88, Blenheim Online, 1988. Google ScholarDigital Library
Index Terms
- Deep models, normative reasoning and legal expert systems
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