Information technology and lawyers: Advanced technology in the legal domain, from challenges to daily routine

Information Technology and Lawyers: Advanced Technology in the Legal Domain, from Challenges to Daily Routine

Volumn , Issue , 2006, Pages 1-198

  Lodder, Arno R ^a   Oskamp, Anja ^b  

^a Centre for Electronic Dispute Resolution   (Netherlands)

^b Ctr Electron Dispute Resolution   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892334856     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-4020-4146-2     Document Type: Book

References (266)

1. [HTML Guide] http://www.w3.org/MarkUp
2. [LegalXML (2004)] http://www.legalxml.org/
3. [Semantic Web] http://www.w3.org/2001/sw
4. [Virtual Law Library Resource Guide] http://www.law.indiana.edu/v-lib/ other resources.html
5. [Virtual Law Library] http://www.law.indiana.edu/v-lib
6. [W3C] http://www.w3.org/
7. [Westlaw (1994)] www.westlaw.com
8. [XML Guide] http://www.w3.org/XML
9. Agrawal R., Imielinski T. & Swami A. (1993), "Mining Association Rules between Sets of Items in Large Databases," in: Proceedings of ACM Sigmod Conference, Washington, USA.
10. Aikenhead M. (1996), "The Uses and Abuses of Neural Networks in Law," Santa Clara Computer and High Technology Law Journal, 12(1):31-70.
11. Aleven V. (1997), Teaching Case-Based Argumentation through a Model and Examples. Ph.D. Dissertation, Unumbered technical report, Learning Research and Development Center, University of Pittsburgh Graduate Program in Intelligent Systems.
12. Aleven V. (2003), "Using Background Knowledge in Case-Based Legal Reasoning: A Computational Model and an Intelligent Learning Environment," Artificial Intelligence, 150(Special Issue on Artificial Intelligence and Law):183-237.
13. Aleven V. & Ashley K. (1994), "An Instructional Environment for Practicing Argumentation Skills," in: Proceedings of the Twelfth National Conference on Artificial Intelligence, Seattle WA, July. Menlo Park, CA: AAAI Press, pp. 485-492.
14. Aleven V. & Ashley K. (1997), "Teaching Case-Based Argumentation through a Model and Examples: Empirical Evaluation of an Intelligent Learning Environment," in: du Boulay A.B. & Mizoguchi, R. (eds.) Proceedings AI-Ed 97World Conference on Artificial Intelligence in Education. Amsterdam: IOS Press, pp. 87-94.
15. Allen L.E. & Saxon C.S. (1987), "Some Problems in Designing Expert Systems to Aid Legal Reasoning," in: Proceedings of the First International Conference on Artificial Intelligence and Law. New York: ACM, pp. 94-103.
16. Allen L.E. & Saxon C.S. (1995), "Better Language, Better Thought, Better Communication: The A-HOHFELD Language for Legal Analysis," in: Proceedings of the Fifth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 219-228.
17. Allis L.V. (1994), Searching for Solutions in Games and Artificial Intelligence. Ph.D. Dissertation, University of Maastricht.
18. Arnold-Moore T. (1998), Information Systems for Legislation. Ph.D. Dissertation, Royal Melbourne Institute of Technology, Australia.
19. AshleyK.D. (1987), Modeling Legal Argument: Reasoning with Cases and Hypotheticals. Ph.D. Dissertation, COINS Technical Report No. 88 01, Department of Computer and Information Science, University of Massachusetts, Amherst.
20. Ashley K.D. (1990), Modeling Legal Argument: Reasoning with Cases and Hypotheticals, Cambridge MA: MIT Press.
21. Bellord N.J. (1982), "Information and Artificial Intelligence in the Lawyer's Office," in: Ciampi C. (ed.) Artificial Intelligence and Legal Information Systems. Amsterdam: North-Holland Publishers, pp. 241-249.
22. Bench-Capon T. (1991), "Exploiting isomorphism: Development of a KBS to Support British Coal Insurance Claims," in: Proceedings of the Third International Conference on Artificial Intelligence and Law. New York: ACM, pp. 62-68.
23. Bench-Capon T.J.M. & Sartor G. (2001a), "Theory Based Explanation of Case Law Domains," in: Proceedings of the Eighth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 12-21.
24. Bench-Capon T.J.M. (1993), "Neural Networks and Open Texture," in: Proceedings of the Fourth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 292-297.
25. Bench-Capon T.J.M. (2002), "Representation of Case Law as an Argumentation Framework," in: Bench-Capon T.J.M., Daskalopulu A. & Winkels R. (eds.) Legal Knowledge and Information Systems, Jurix 2002, The Fifteenth Annual Conference, pp. 103-112.
26. Bench-Capon T.J.M. (2003), "Persuasion in Practical Argument Using Value-Based Argumentation Frameworks," Journal of Logic and Computation, 13(3):429-448.
27. Bench-Capon T.J.M., Geldard. T. & Leng P.H. (2000), "A Method for the Computational Modelling of Dialectical Argument with Dialogue Games," Artificial Intelligence and Law, 8:233-254.
28. Bench-Capon T.J.M. & Sartor G. (2001b), "A Quantitative Approach to Theory Coherence," in: Verheij H.B.et al. (eds.) Legal Knowledge and Information Systems, Jurix 2001: The Fourteenth Annual Conference. Amsterdam: IOS Press, pp. 53-62.
29. Bench-Capon T.J.M. & Sartor G. (2003), "A Model of Legal Reasoning with Cases Incorporating Theories and Values," Artificial Intelligence, 150:97-143.
30. Bench-Capon T.J.M. & Sergot M.J. (1988), "Towards a Rule-Based Representation of Open Texture in Law," in: Walter C. (ed.) Computer Power and Legal Language. New York: Quorum Books, pp. 39-61.
31. Bench-Capon T.J.M. & Staniford G. (1995), "PLAID-Proactive Legal Assistance," in: Proceedings of the Fifth International Conference on AI and Law. New York: ACM, pp. 81-88.
32. Berman D. & Hafner C.D. (1986), "Obstacles to the Development of Logic-Based Models of Legal Reasoning," in: Walter C. (ed) Computer Power and Legal Language. Westport, CT: Greenwood Press, pp. 185-214.
33. Berman D.H. (1991), "Developer's Choice in the Legal Domain: The Sisyphean Journey with Case-Based Reasoning or Down Hill with Rules," in: Proceedings of the Third International Conference on Artificial Intelligence and Law, Oxford, UK, June 25-28, 1991. New York: ACM , pp. 307-309.
34. Berman D.H. & Hafner C.D. (1988), "Obstacles to the Development of Logic-Based Models of Legal Reasoning," in: Walter C. (ed.) Computer Power and Legal Reasoning. New York: Quorum Books, pp. 183-214.
35. Berman, D.M. & Hafner C.D. (1993), "Representing Teleological Structure in Case-Based Legal Reasoning: The Missing Link," in: Proceedings of the Fourth International Conference on Artificial Intelligence and Law. New York: ACM , pp. 50-59.
36. Berners-Lee T., Hendler J. & Lassila O. (2001), "The Semantic Web," Scientific American, 284(5):35-43.
37. Bex F.J., Prakken H., Reed C. & Walton D.N. (2003), "Towards a Formal Account of Reasoning about Evidence: Argumentation Schemes and Generalizations," Artificial Intelligence and Law, 11:125-165.
38. Biagioli C., Francesconi E., Spinosa P. & Taddei M. (2003), "NIREditor, A XML Specific Environment for Legislative Drafting (Norme in Rete project)," in: Proceedings of the Jurix 2003 International Workshop on the Development of Standards for Describing Legal Documents. Available at http://www.lri.jur.uva.nl/standards2003/.
39. Bing J. (ed.) (1984), Handbook of Legal Information Retrieval. Amsterdam: Elsevier.
40. Bing J. & Harvold T. (1977), Legal Decisions and Information Systems. Norway: Tano.
41. Bishop M. (2002), Computer Security: Art and Science, 1st Edition. Addison-Wesley.
42. Blanken H.M., Grabs T., Schek H.J., Schenkel R. & Weikum G. (eds.) (2003), Lecture Notes in Computer Science, Vol. 2818: Intelligent Search on XML Data. New York: Springer.
43. Boer A., Engers T. van & Winkels R. (2003), "Using Ontologies for Comparing and Harmonizing Legislation," in: Proceedings of the Ninth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 60-69.
44. Boer A., Hoekstra R. & Winkels R. (2002), "MetaLex: Legislation in XML," in: Bench-Capon T., Daskalopulu A. & Winkels R. (eds) Proceedings of the Fifteenth Annual International Conference on Legal Knowledge and Information Systems (Frontiers in Artificial Intelligence). Amsterdam: IOS Press, pp. 73-82.
45. Bolioli A., Dini L., Mercatali P. & Romano F. (2002), "For the Automated Mark-Up of Italian Legislative Texts in XML," in: Bench-Capon T., Daskalopulu A. & Winkels R. (eds.) Proceedings of the Fifteenth Annual International Conference on Legal Knowledge and Information Systems (Frontiers in Artificial Intelligence). Amsterdam: IOS Press, pp. 21-30.
46. Borges F., Borges R. & Bourcier, D. (2002), "A Connectionist Model to Justify the Legal Reasoning of the Judge," in: Proceedings of Fifteenth International Conference on Legal Knowledge Based System. Amsterdam: IOS Press, pp. 113-122.
47. Borges F., Borges R. & Bourcier, D. (2003), "Artificial Neural Networks and Legal Categorization," in: Proceedings of Sixteenth International Conference on Legal Knowledge Based System. Amsterdam: IOS Press, pp. 11-20.
48. Borgulya I. (1999), "Two Examples of Decision Support in the Law," Artificial Intelligence and Law, 7(2-3):303-321.
49. Branting K., Callaway C., Mott B. & Lester J. (1999), "Integrating Discourse and Domain Knowledge for Document Drafting," in: Proceedings of the Seventh International Conference on Artificial Intelligence and Law. New York: ACM, pp. 214-220.
50. Branting K., Lester J. & Callaway C. (1997), "Automated Drafting of Self-Explaining Documents," in: Proceedings of the Sixth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 72-82.
51. Branting L.K. (1991), "Building Explanations from Rules and Structured Cases," International Journal of Man-Machine Studies, 34:797-837.
52. Branting L.K. (2000), Reasoning with Rules and Precedents-A Computational Model of Legal Analysis. Dordrecht: Kluwer Academic Publishers.
53. Branting L.K. (2001), "Legal Expert Systems Enter the Market Place,"Workshop Notes of: Legal Knowledge Systems in Action, Eighth International Conference on Artificial Intelligence and Law, May 2001. St. Louis, MO: ACM.
54. Branting L.K. (2003a), "A Reduction-Graph Model of Precedent in Legal Analysis," Artificial Intelligence, 150:59-96.
55. Branting L.K. (2003b), "An Agenda for Empirical Research in AI and Law," Workshop Notes of:The ICAIL-2003 Workshop on Evaluation of Legal Reasoning and Problem-Solving Systems, Edinburgh, pp. 28-35.
56. Brin S. & Page L. (1998), "The Anatomy of a Large-Scale Hypertextual (Web), Search Engine," in: The Seventh International World Wide Web Conference. Available at http://citeseer.ist.psu.edu/brin98anatomy. html.
57. Brkic J. (1985), Legal Reasoning: Semantic and Logical Analysis. New York: Peter Lang.
58. Bruce T. (2000), "Public Legal Information: Focus and Future," The Journal of Information, Law and Technology, 1. Available at http://elj.warwick.ac.uk/jilt/00-1/bruce.html.
59. Brüninghaus S. & Ashley K.D. (1997), "Finding Factors: Learning to Classify Case Opinions under Abstract Fact Categories," in: Proceedings of the Sixth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 123-131.
60. Brüninghaus S. & Ashley K.D. (2001), "Improving the Representation of Legal Case Texts with Information Extraction Methods," in: Proceedings of the Eighth International Conference on Artificial Intelligence and Law (ICAIL-01). New York: ACM, pp. 42-51.
61. Brüninghaus S. & Ashley K.D. (2003), "Predicting the Outcome of Case-Based Legal Arguments," in: Proceedings of the Ninth International Conference on Artificial Intelligence and Law (ICAIL-03). New York: ACM, pp. 234-242.
62. Callan J.P. et al. (1992), "The INQUERY Retrieval System," in: Proceedings of DEXA 1992, pp. 78-83.
63. Castel F. (2002), "Ontological Computing," Communications of the ACM, 45(2):29-30.
64. Chang K.C.C. & Wong A.K.C. (1991), "A Statistical Technique for Extracting Classificatory Knowledge from Databases," in: Piatetsky-Shapiro G. & Frawley W. J. (eds.) Knowledge Discovery in Databases. Menlo Park, CA: AAAI Press, pp. 107-123.
65. Chen Z. (2001), Data Mining and Uncertain Reasoning: An Integrated Approach. New York: John Wiley and Sons.
66. Choi D. & Katsh E. (eds.) (2003), Proceedings UN Forum on ODR. Available at http://www.odr.info.
67. Christie G.C. (1986), "An Essay on Discretion," Duke Law Journal, pp. 747-778.
68. Cios K.J., Pedrycz W. & Swiniarski R. (1998), Data Mining Methods for Knowledge Discovery. Boston: Kluwer Academic Publishers.
69. Clinch P. (2000), Legal Information: What Is It and Where to Find It. London: Aslib.
70. Daniels J.J. & Rissland E. (1997), "Finding Legally Relevant Passages in Case Opinions," in: Proceedings of the Sixth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 39-46.
71. Debaene S., Kuyck R. van & Buggenhout B. van (2000), "SOLON. Een computersysteem ter ondersteuning van de wetgevingsactiviteit van de Vlaamse regering," in: Debaene S. & Buggenhout B. van (eds.) Informatietechnologie en de kwaliteit van wetgeving. Antwerpen: Intersentia, pp. 79-120.
72. Dijkstra J.J. (1998), On the use of computerised decision aids-an investigation into the expert system as persuasive communicator, Doctoral dissertation, Groningen University.
73. Dung P.M. (1995), "On the Acceptability of Arguments and Its Fundamental Role in Nonmonotonic Reasoning, Logic Programming and N-Person Games," Artificial Intelligence, 77:321-357.
74. Dworkin R. (1977), Taking Rights Seriously. Cambridge, MA: Harvard University Press.
75. Engers T.M. van&Boekenoogen M. (2003), "Improving Legal Quality: An Application Report," in: Proceedings of the Ninth International Conference on Artificial Intelligence and Law. New York: ACM, p. 284.
76. Fabri M. & Contini F. (eds.) (2001), Justice and Technology in Europe: How ICT Is Changing the Judicial Business. The Hague: Kluwer Law International.
77. Fayyad U., Piatetsky-Shapiro G. & Smyth P. (1996), "The KDD Process for Extracting Useful Knowledge from Volumes of Data," Communications ACM, 39(11):27-41.
78. FeuRosa P. V. (2000), "The Electronic Judge," in: Proc AISB'00-Symp. Artificial Intelligence and Legal Reasoning, April, Birmingham, pp. 33-36.
79. Fiedler H. & Traunmüller R. (eds.) (1986), "Formalisierung im Recht und Ansätze Juristischer Expertensysteme, 1," workshop der GI. München: J. Schweitzer-Verlag.
80. Fiedler H. & Traunmüller R. (1989), "Juristische Arbeitsmethoden im Vergleich mit Methoden der Informatik-Vergleich von Modellbildung und Systemkonzeption," in: Tagungsband 19. GI-Oktober, Jahrestagung 1989, IFB 223. Munich: Springer.
81. Fischer-Hübner S., Alberto-Escudero P.&Lindskog H. (2002), "Preventing Privacy Attacks and Cybercrime in the Mobile Internet?" in: Human Choice and Computers-Issues of Choice and Quality of Life in the Information Society, TC9 Stream Proceedings within IFIP 17th World Computer Congress, August 25-30, 2002. Montreal, Canada: Kluwer Academic Publishers.
82. Flick G.A. (1979), Natural Justice. Principles and Practical Application. Sydney: Butterworths.
83. Fuller L. (1958), "Positivism and the Separation of Law and Morals-A Reply to Professor Hart," Harvard Law Review, 71:630-672.
84. Gardner A. von der Lieth (1987), An Artificial Intelligence Approach to Legal Reasoning. Cambridge, MA: MIT Press.
85. Gordon T.F. (1991), "An Abductive Theory of Legal Issues," International Journal of Man-Machine Studies, 35:95-118.
86. Gordon T.F. (1995), The Pleadings Game. An Artificial Intelligence Model of Procedural Justice. Dordrecht: Kluwer Academic Publishers.
87. Gordon T.F. (2004), "eGovernance and Its Value for Public Adminsitration," in: Malerba D. (ed.) Knowledge-Based Services for the Public Sector. Bonn: Springer Verlag.
88. Gottschalk P. (1999), "Use of IT for Knowledge Management in Law Firms," The Journal of Information, Law and Technology, Vol. 3. Available at http://www.law.warwick.ac.uk/jilt/99-3/gottschalk.html.
89. Gray P.N. (1997), Artificial Legal Intelligence. Darmouth: Aldershot.
90. Greenleaf G., Austin D., Chung P. & Mowbray A. (2000), "Solving the Problems of Finding Law on the Web: World Law and DIAL," The Journal of Information, Law and Technology, Vol. 1. Available at http://elj.warwick.ac.uk/ jilt/00-1/greenleaf.html.
91. Greenwood K., Bench-Capon T.J.M. & McBurney P. (2003), "Towards a Computational Account of Persuasion in Law," in: Proceedings of the Ninth International Conference of Artificial Intelligence and Law. New York: ACM, pp. 22-31.
92. Grover C., Hachey B., Hughson I.&Korycinski C. (2003), "Automatic Summarization of Legal Documents," in: Proceedings of the Ninth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 243-251.
93. Hage J.C. (1996), "A Theory of Legal Reasoning and a Logic to Match," Artificial Intelligence and Law, 4:199-273.
94. Hage J.C. (2001), "Formalising Legal Coherence," in: Proceedings of the Eighth International Conference on AI and Law. New York: ACM, pp. 22-31.
95. Hall M.J.J., Calabro D., Sourdin T., Stranieri A. & Zeleznikow J. (submitted), "Supporting Discretionary Decision Making with Information Technology: A Case Study in the Criminal Sentencing Jurisdiction," Ottawa Journal of Law and Technology.
96. Han J.&Kamber M. (2001), Data Mining: Concepts and Techniques. San Francisco, CA: Morgan Kaufmann.
97. Hart H.L.A. (1958), "Positivism and the Separation of Law and Morals," Harvard Law Review, 71:593-629.
98. Hayes P. & Weinstein S. (1991), "Adding Value to Financial News by Computer," in: Proceedings of The First International Conference on Artificial Intelligence Applications on Wall Street. pp. 2-8.
99. Hobson J.B. & Slee D. (1994), "Indexing the Theft Act 1968 for Case Based Reasoning and Artificial Neural Networks," in: Proceedings of the Fourth National Conference on Law, Computers and Artificial Intelligence, Exeter.
100. Hunter D. (1994), "Looking for Law in All the Wrong Places: Legal Theory and Neural Networks," in: Prakken H., Muntjewerff A.J., Soeteman A. & Winkels R. (eds.) Legal Knowledge Based Systems: The Relation with Legal Theory. Lelystad: Koninklijke Vermande.
101. Huysman M. & Wit D. de (2002), Knowledge Sharing in Practice. Dordrecht: Kluwer Academic Publishers.
102. Ingleby R. (1993), Family Law and Society. Sydney: Butterworths.
103. Ivkovic S., Yearwood J. & Stranieri A. (2003), "Visualising Association Rules for Feedback within the Legal System," in: Proceedings of Ninth International Conference on Artificial Intelligence and Law. Edinburgh, Scotland, June 24-28, 2003. New York: ACM, pp. 214-223.
104. Kerrigan S. & Law K.H. (2003), "Logic-Based Regulation Compliance Assistance," in: Proceedings of the Ninth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 126-135.
105. Kilian W. (1990), "EEC Products Liability Directive and Medical Expert Systems." in: Kaspersen H.W.K. & Oskamp A. (eds.) Amongst Friends in Computers and Law. Deventer: Kluwer, pp. 93-103.
106. Kleinberg J.M. (1998), "Authoritative Sources in a Hyperlinked Environment," in: Proceedings of the ACMSIAM Symposium on Discrete Algorithms. Available at http://www.cs.cornell.edu/home/kleinber.
107. Kohonen T. (1982), "Self-Organized Formation of Topologically Correct Feature Maps," Biological Cybernetics, 43.
108. Kolodner J. (1993), Case Based Reasoning. San Mateo: Morgan Kaufman.
109. Kort F. (1957), "Predicting Supreme Court Decisions Mathematically: A Quantitative Analysis of the 'Right to Counsel' Cases," American Political Science Review, 51:1-12.
110. Kort F. (1964), "Simultaneous Equations and Boolean Algebra," in: Schubert, G. (ed.) Judicial Behaviour: A Reader in Theory and Research. Chicago: Rand McNally & Co., pp. 477-491.
111. Kort F. (1966), "Quantitative Analysis of Fact-Patterns in Cases and Their Impact on Judicial Decisions," Harvard Law Review, 79:1595.
112. Kovacs D. (1992), Family Property Proceedings in Australia. Sydney: Butterworths.
113. Kowalski R.A. & Toni F. (1996), "Abstract Argumentation," Artificial Intelligence and Law, 4:275-296.
114. Larson D.A. (2003), "Online Dispute Resolution: Do You Know Where Your Children Are?" Negotiation Journal, July 2003:199-205.
115. Lauritsen M. (1993), "Knowing Documents," in: Proceedings of the Fourth International Conference on Artificial Intelligence and Law, June 15-18, 1993. Amsterdam, pp. 184-191.
116. Lawlor R. (1964), "Stare Decisis and Electronic Computers," in: Schubert G. (ed.) Judicial Behaviour: A Reader in Theory and Research. Chicago: Rand McNally & Co., pp. 492-505.
117. Lawlor R. (1967), "Personal Stare Decisis," Southern California Law Review, 41:73-118.
118. Lawlor R. (1969), "Axioms of Fact Polarization and Fact Ranking-Their Role in Stare Decisis," Villanova Law Review, 14(4):703-726.
119. Leff L. (2001), "Automated Reasoning with Legal XML Documents," in: Proceedings of the Eighth International Conference on Artificial Intelligence and Law. St. Louis, MO: ACM, pp. 215-216.
120. Legrand J. (1999), "Some Guidelines for Fuzzy Sets Application in Legal Reasoning," Artificial Intelligence and Law, 7(2-3):235-257.
121. Leith P. & Hoey A. (1998), The Computerized Lawyer. A Guide to the Use of Computers in the Legal Profession, 2nd Revised Edition. London: Springer-Verlag.
122. Lenk K. & Traunmüller R. (Hrsg.) (1999), Öffentliche Verwaltung und Informationstechnik: Perspektiven einer radikalen Neugestaltung der öffentichen Verwaltung mit Informationstechnik. Schriftenreihe Verwaltungsinformatik Bd. 20, Heidelberg: im R. v. Decker's Verlag.
123. Lodder A.R. (1999), DiaLaw-On Legal Justification and Dialogical Models of Argumentation. Dordrecht: Kluwer Academic Publishers.
124. Lodder A.R. (2001), "A Simple Model to Structure the Information of Parties in Online ADR," in: Proceedings of the Eighth International Conference of Artificial Intelligence and Law. New York: ACM, pp. 233-234.
125. Lodder A.R. (2003), Proceedings of the ODRworkshop.org, Edinburgh, June 28, 2003.
126. Lodder A.R., Oskamp A. & Schmidt A.H.J. (eds.) (2001), IT Support of the Judiciary in Europe. Den Haag: SDU.
127. Loui R.P. & Norman J. (1995), "Rationales and Argument Moves," Artificial Intelligence and Law, 3:159-189.
128. Loui R.P., Norman J., Alpeter J., Pinkard D., Craven D., Linsday J. & Foltz M. (1997), "Progress on Room 5: A Testbed for Public Interactive Semi-Formal Legal Argumentation," in: Proceedings of the Sixth International Conference of Artificial Intelligence and Law. New York: ACM, pp. 207-214.
129. Luck M., McBurney P. & Preist C. (2003), Agent Technology: Enabling Next Generation Computing. AgentLink, Available at http://www.agentlink.org/ roadmap/.
130. MacCormick D.N. (1978), Legal Reasoning and Legal Theory. Oxford: Clarendon Press.
131. MacCormickD.N. &. Summers R.S. (eds.) (1997), Interpreting Precedents: A Comparative Study. Aldershot: Dartmouth Publishing.
132. Mackaay E. & Robillard P. (1974), "Predicting Judicial Decisions: The Nearest Neighbor Rule and Visual Representation of Case Patterns," Datenverarbeitung im Recht, 3:302-331.
133. Martyna J.&Stabrawa E. (1995), "The Use of Expert Systems: Some Legal Aspects," Schedae Informaticae, (6):139-144.
134. Matthijssen L.J., Voermans W. & Weusten M.C.M. (2002), "IT-toepassingen in de juridische praktijk," in: Oskamp A. & Lodder A.R. (eds.) Informatietechnologie voor Juristen, 2de druk. Deventer: Kluwer, pp. 19-43.
135. Matthijsen L.J. & Weusten M.C.M. (1999), "Typologie van juridische informatietechnologie-toepassingen," in: Oskamp A. & Lodder A.R. (eds.) Informatietechnologie voor Juristen-Handboek voor de jurist in de 21ste eeuw. Deventer: Kluwer, pp. 15-36.
136. McCarty L.T. (1977), "Reflections on TAXMAN: An Experiment in Artificial Intelligence and Legal Reasoning," Harvard Law Review, 90:89-116.
137. McCarty L.T. (1995), "An Implementation of Eisner v Macomber," in: Proceedings of the Fifth International Conference on AI and Law. New York: ACM, pp. 276-286.
138. McCarty L.T. & Sridharan N.S. (1981a), "The Representation of an Evolving System of Legal Concepts: II. Prototypes and Deformations," in: Proceedings of the Seventh International Joint Conference on Artificial Intelligence, pp. 246-253.
139. McCullochW.S.& Pitts W. (1943), "A Logical Calculus of the Ideas Immanent in Nervous Activity," Bulletin of Mathematical Biophysics, 5:115-133.
140. McLaren B.M. (2003), "Extensionally Defining Principles and Cases in Ethics: An AI Model," Artificial Intelligence, 150(Special Issue on Artificial Intelligence and Law):145-181.
141. Mercatali P. (2000), "Computer-Aided Methods and Tools for Legislative Drafting," in: Debaene S. & Van Buggenhout B. (eds.) Informatietechnologie en de kwaliteit van wetgeving. Antwerpen: Intersentia, pp. 139-156.
142. MerklD., Schweighofer E.& Winiwarter W. (1999), "Exploratory Analysis of Concept and Document Spaces with Connectionist Networks," Artificial Intelligence and Law, 7(2-3):185-209.
143. Minsky M. & Papert S. (1969), Perceptrons: An Introduction to Computational Geometry. Cambridge, MA: MIT Press.
144. Moens M., Uyttendaele C.& Dumortier J. (1997), "Abstracting of Legal Cases: TheSALOMONExperience," in: Proceedings of the Sixth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 114-122.
145. Moens M.F. (2000), Automatic Indexing and Abstracting of Document Texts. Boston: Kluwer Academic Publishers.
146. Moens M.F. (2001), "Innovative Techniques for Legal Text Retrieval," Artificial Intelligence and Law, 9:29-57.
147. Moens M.F. (2002), "What Information Retrieval Can Learn from Case-Based Reasoning," in: Bench-Capon T., Daskalopulu A. & Winkels R. (eds.) Proceedings JURIX 2002: The Fifteenth Annual Conference (Frontiers in Artificial Intelligence and Applications 89). Amsterdam: IOS Press, pp. 83-91.
148. Moens M.F. (ed.) (2003a), Digitale wetgeving, Digital Legislation. Brugge: Die Keure.
149. Moens M.F. (2003b), "Interrogating Documents: The Future of Legal Information Systems," in: Proceedings of the JURIX 2003 International Workshop on the Development of Standards for Describing Legal Documents. Utrecht: Utrecht University.
150. Moens M.F. & Busser R. de (2002), "First Steps in Building a Model for the Retrieval of Court Decisions," International Journal of Human-Computer Studies, 57(5):429-446.
151. Moldovan D., Clark C., Harabagiu S. & Maiorana S. (2003), "COGEX: A Logic Prover for Question Answering," in: Proceedings of the Human Language Technology and North American Chapter of the Association of Computational Linguistics 2003, May 27-June 1, 2003. East Stroudsburg, PA: Association for Computational Linguistics, pp. 166-172.
152. Mommers L. (2002), Applied Legal Epistemology. Ph.D. Thesis, University of Leiden.
153. Mountain D. (2001), "Could New Technologies Cause Great Law Firms to Fail?" in: Proceedings of the ICAIL-2001 Workshop Legal Knowledge Systems in Action: Practical AI in Today's Law Office, pp. 39-50.
154. Munro N. (2002), "The Ever-Expanding Network of Local and Federal Databases," Communications of the ACM, 45(7):17-19.
155. Nagel, S. (1964), "Testing Empirical Generalisations," in: Schubert, G. (ed.) Judicial Behaviour: A Reader in Theory and Research. Chicago: Rand McNally & Co., pp. 518-529.
156. Nieuwenhuis M.A., TESSEC: een expertsysteem voor de Algemene Bijstandswet. Deventer: Kluwer, 1989 (doctoral dissertation).
157. O'Keefe R.M.&O'Leary D.E. (1993), "Expert Systems Verification and Validation: A Survey and Tutorial," Artificial Intelligence Review, 7:3-42.
158. Oskamp A. & Lauritsen M. (2003), "AI in Law Practice? So Far, Not Much," Artificial Intelligence and Law, 10:227-236.
159. Oskamp A. & Lodder A.R. (eds.) (1999), Informatietechnologie voor Juristen-Handboek voor de jurist in de 21ste eeuw. Deventer: Kluwer.
160. Oskamp A., Lodder A.R. & Apistola M. (eds.) (2004), IT Support of the Judiciary in Australia, Singapore, Venezuela, Norway, The Netherlands and Italy. TMC Asser Press/Cambridge University Press.
161. Oskamp A. & Tragter M.W. (1997), "Automated Legal Decision Systems in Practice: The Mirror of Reality," Artificial Intelligence and Law, pp. 291-322.
162. Pannu. A.S. (1995), "Using Genetic Algorithms to Inductively Reason with Cases in the Legal Domain," in: Proceedings of The Fifth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 175-184.
163. Parliament ofVictoria LawReformCommittee (1999), Technology and LawReport, ChairmanVictor Perton.
164. Peczenik A. (1996), "Jumps in Logic and the Law", Artificial Intelligence and Law, 4(3-4):297-329.
165. Pfleeger C.P. & Pfleeger S.L. (2003), Security in Computing, 3rd Edition. Prentice Hall.
166. Philipps L. (1989), "Are Legal Decisions Based on the Application of Rules or Prototype Recognition? Legal Science on the Way To Neural Networks," in: Pre-Proceedings of The Third International Conference on Logica, Informatica, Diritto, 673. Florence: IDG.
167. Philipps L. (1991), "Distribution of Damages in Car Accidents Through the Use of Neural Networks," Cardozo Law Review, 13:987-1001.
168. Philipps L. (1993), "Vague Legal Concepts and Fuzzy Logic. An Attempt to Determine the Required Period of Waiting after Traffic Accidents," in: Proceedings of The Computer and Vagueness: Fuzzy Logic and Neural Nets. Informatica e diritto, 2, pp. 37-51.
169. Philipps L. & Sartor G. (1999), "From Legal Theories to Neural Networks and Fuzzy Reasoning," Artificial Intelligence and Law, 7(2-3):115-128.
170. Ponte L.M. (2002), "The Michigan Cyber Court: A Bold Experiment in the Development of the First Public Virtual Courthouse," 4 NCJL & Tech 51.
171. Popple J.D. (1993), SHYSTER: A Pragmatic Legal Expert System. Ph.D. Dissertation, The Australian National University.
172. Poulin]D., Huard G.&Lavoie A. (1997), "The Other Formalization of Law: SGML Modelling and Tagging," in: Proceedings of The Sixth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 82-88.
173. Pound R. (1908), "Mechanical Jurisprudence," Columbia Law Review, 8:605.
174. Prakken H. (1993), "A Logical Framework for Modelling Legal Argument," in: Proceedings of The Fourth International Conference of Artificial Intelligence and Law. New York: ACM, pp. 1-10.
175. Prakken H. (1997), Logical Tools for Modelling Legal Argument. A Study in Defeasible Reasoning in Law. Dordrecht: Kluwer Academic Publishers.
176. Prakken H. (2001), "Modelling Reasoning about Evidence in Legal Procedure," in: Proceedings of The Eighth International Conference of Artificial Intelligence and Law, New York: ACM 119-128.
177. Prakken H. (2002), "An Exercise in Formalising Teleological Case-Based Reasoning, Artificial Intelligence and Law, 10:113-133.
178. Prakken H. & Sartor G. (1996), "A Dialectical Model of Assessing Conflicting Arguments in Legal Reasoning," Artificial Intelligence and Law, 4:331-368.
179. Prakken H. & Sartor G. (1998), "Modelling Reasoning with Precedents in a Formal Dialogue Game," Artificial Intelligence and Law, 6:231-287.
180. Prakken H. & Sartor G. (2002), "The Role of Logic in Computational Models of Legal Argument: A Critical Survey," in: Kakas A.&Sadri F. (eds.) Computational Logic: Logic Programming and Beyond. Essays In Honour of Robert A. Kowalski, Part II. Lecture Notes in Computer Science, Vol. 2048. Berlin: Springer, pp. 342-380.
181. Quaresma P. & Rodrigues I. (2003), "Using Dialogues to Access Semantic Knowledge in a Web Legal IR System," in: Proceedings of The JURIX 2003 International Workshop on Question Answering for Interrogating Legal Documents. Utrecht: Utrecht University.
182. Quinlan J.R. (1986), "Induction of Decision Trees," Machine Learning, 1:81-106.
183. Quirchmayr G. (2004), Survivability and Business Continuity Management (Keynote). ACSW Frontiers. Dunedin: ACM.
184. Quirchmayr G. & Traunmüller R. (1990), "Office Information Systems for Legal Professions: An Approach for Supporting Legal Decision Making," in: Internationaler Kongress Datenverarbeitung im Europäischen Raum, 9, EDV in den 90er-Jahren: Jahrzehnt der Anwender - Jahrzehnt der Integration. Wien: ADV, p. 596ff.
185. Rabinovich-Einy O. (2003), "The Ford-Firestones of the Future: Resolving Offline Disputes in an Online Society," in: Lodder A.R., Clark E., Gordon T.F., Katsh E.M., Rule C., Thiessen E.M.,Verheij B.,Watton D.N. & Zeleenikow J. (eds.) Proceedings of the ODRworkshop.org, Edinburgh, pp. 37-50.
186. Reed C.A. & Rowe G.W.A. (2001), "Araucaria: Software for Puzzles in Argument Diagramming and XM." Department of Applied Computing, University of Dundee Technical Report. (The Araucaria software can be downloaded from: www.computing.dundee.ac.uk/staff/creed/araucaria/.)
187. Riloff, E. (1996), "Automatically Generating Extraction Patterns from Untagged Text," in: Proceedings of The Thirteenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press, pp. 1044-1049.
188. Rissland E.L. (1990), "Artificial Intelligence and Law: Stepping Stones to a Model of Legal Reasoning," Yale Law Journal, 99(8):1957-1982.
189. Rissland E.L., Ashey K.D. & Loui R.P. (2003), "AI and Law: A Fruitful Synergy," Artificial Intelligence 150: 1-15.
190. Rissland E.L. & Daniels J.J. (1996), "The Synergistic Application of CBR to IR," Artificial Intelligence Review, 10(Special Issue on the Use of AI in Information Retrieval):441-475.
191. Rissland E.L & Friedman M.T. (1995), "Detecting Change in Legal Concepts," in: Proceedings of the Fifth International Conference on Artificial Intelligence and Law. Melbourne, Australia, June 30-July 4, 1995. New York: ACM, pp. 127-136.
192. Rissland, E.L. & Skalak, D.B. (1991), "CABARET: Statutory Interpretation in a Hybrid Architecture," International Journal of Man-Machine Studies, 34(6):839-887.
193. Rissland E.L., Skalak D.B. & Friedman M.T. (1996), "BankXX: Supporting Legal Arguments Through Heuristic Retrieval," Artificial Intelligence and Law, 4:19.
194. Rissland, E.L. et al. (1993), "Using Heuristic Search to Retrieve Cases that Support Arguments," in: Proceedings of CBR'93 Workshop, AAAI Press, pp. 5-11.
195. Roelvink E. (2003), The Future is Here. Available at www.emediation.nl.
196. Rose D. & Belew R.K. (1991), "A Connectionist and Symbolic Hybrid for Improving Legal Research," International Journal on Man-Machine Studies, 35:1-33.
197. Rose D.E. (1993), A Symbolic and Connectionist Approach to Legal Information Retrieval. Hillsdale, NJ: Erlbaum.
198. Rosenblatt, F. (1958), "The perceptron: A probabilistic model for information storage and organization in the brain," Psychological Review, vol. 65, pp. 386-408.
199. Rosenblatt F. (1959), "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain," Psychological Review, 65:386-408.
200. Roth A.C. (2003), Case-Based Reasoning in the Law: A Formal Theory of Reasoning by Case Comparison. Ph.D. Dissertation, University of Maastricht.
201. Rumelhart D., Hinton G. & Williams R. (1986), "Learning Internal Representations by Error Propagation," in: RumelhartD.&McClelland J. (eds.) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press.
202. Schäfer E. (2004), "IT in Arbitration: TheWork of the ICCTask Force," Using Technology to Resolve Business Disputes, Special Supplement 2004-ICC International Court of Arbitration Bulletin, pp. 59-61.
203. Schreiber G., Wielinga B. & Breuker J. (eds.) (1993), KADS: A Principled Approach to Knowledge-Based System Development, volume 11 of Knowledge-Based Systems Book Series. Academic Press, London.
204. Schreiber G., Akkermans H. & Anjewierden H. (2001), Knowledge Engineering and Management. Cambridge, MA: MIT Press.
205. Schum D.A. & Tillers P. (1991), "Marshalling Evidence for Adversary Litigation," Cardozo Law Review, 13:657-704.
206. Schweighofer E. & Winiwarter W. (1993), "12th Legal Expert System KONTERM-Automatic Representation of Document Structure and Contents," in: Marík V., Lazansky J. & Wagner R.R. (eds.) in: Proceedings of the Fourth International Conference on Database and Expert Systems Applications (DEXA 93). Berlin: Springer-Verlag, pp. 486-497.
207. Seipel, P. (1977), Computing Law. Perspectives on a New legal Dicipline. Stockholm: Liber Förlag.
208. Seipel P. (1979), "Legal Controls of the Storage and Use of Personal Data. An Appraisal of the Swedish Approach," DATA 1974, no. 5, 43.
209. Seipel P. (1975b), "Software Protection and Law," DATA 1975, no. 6, 43.
210. Sergot M.J., Sadri F.,Kowalski R.A., Kriwaczet F., Hammond P.&Cory H.T. (1986), "The British Nationality Act as a Logic Program," Communications of the ACM, 29:370-386.
211. Shannon C.E. & Weaver W. (1949), A Mathematical Theory of Communication. Urbana, IL: University of Illinois Press.
212. Shapira R. (1999), "Fuzzy Measurements in the Mishnah and Talmud," Artificial Intelligence and Law, 7(2-3):273-288.
213. Siepel P. (1997), Computing Law. Stockholm: Liber Förlag.
214. Skalak D.B. & Rissland E.L. (1992), "Arguments and Cases: An Inevitable Intertwining," Artificial Intelligence and Law, 1:3-44.
215. Stranieri A. (1998), Automating Legal Reasoning in Discretionary Domains. Ph.D. Dissertation, La Trobe University, Melbourne, Australia.
216. Stranieri A., Zeleznikow J., Gawler M. & Lewis B. (1999), "A Hybrid Rule-Neural Approach for the Automation of Legal Reasoning in the Discretionary Domain of Family Law in Australia," Artificial Intelligence and Law, 7(2-3):153-183.
217. Stranieri A., ZeleznikowJ.&Turner H. (2000), "Data Mining in Lawwith Association Rules," in: Proceedings of IASTED International Conference on Law and Technology (Lawtech2000). Anaheim, CA: ACTA Press, pp. 129-134.
218. Stranieri A., Zeleznikow J. & Yearwood J. (2001), "Argumentation Structures That Integrate Dialectical and Monoletical Reasoning," Knowledge Engineering Review, 16(4):331-348.
219. Susskind R. (1987), Expert Systems in Law. Oxford: Oxford University Press.
220. Susskind R. (1998), The Future of Law. Facing the Challenges of Information Technology. Oxford: Clarendon Press.
221. Tata C. (1998), "The Application of Judicial Intelligence and 'Rules' to Systems Supporting Discretionary Judicial Decision-Making," Artificial Intelligence and Law, 6(2-4):203-230.
222. Thagard P. (1989), "Explanatory Coherence," Behavioural and Brain Sciences, 12:435-502.
223. Thompson P. (2001), "Automatic Categorization of Case Law," in: Proceedings of the Eighth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 70-77.
224. Toulmin S.E. (1958), The Uses of Arguments. Cambridge: Cambridge University Press.
225. Traunmüller R. (ed.) (2002), "Information Systems: The e-Business Challenge," in: Proceedings of the XVII. IFIP World Computer Congress in Montreal. Boston: Kluwer Academic Publishers.
226. Turtle H.R. (1995), "Text Retrieval in the Legal World," Artificial Intelligence and Law, 3:5-54.
227. Turtle H.R. & Croft W.B. (1990), "Inference Networks for Document Retrieval," in: Vidick J.-L. (ed.) Proceedings of the Thirteenth International Conference on Research and Development in Information Retrieval. New York: ACM, pp. 1-24.
228. Van Engers T.&Glassée E. (2001), "Facilitating the Legislation Process Using a Shared Conceptual Model," IEEE Intelligent Systems, 16(1):50-58.
229. Verheij B. & Hage J. (2002), "Rechtsinformatica als tak van wetenschap," in: Oskamp A. & Lodder A.R. (eds.) Informatietechnologie voor Juristen, 2de druk. Deventer: Kluwer, pp. 69-91.
230. Verheij H.B. (1996), "An Integrated View on Rules and Principles," in: Kralingen R.W. van, Prins C., Herik H.J. vanden, Zeleznikow J. (eds.) Legal Knowledge Based Systems. Foundations of Legal Knowledge Systems (Proceedings of Jurix-1996). Tilburg: Tilburg University Press, pp. 25-38.
231. Verheij H.B. (1999), "Automated Argument Assistance for Lawyers," in: Proceedings of the Seventh International Conference of Artificial Intelligence and Law. New York: ACM, pp. 43-52.
232. Vey Mestdagh C.N.J. de (1998), "Legal Expert Systems. Experts or Expedients? The Representation of Legal Knowledge in an Expert System for Environmental Permit Law," in: Ciampi C. & Marinai E. (eds.) The Law in the Information Society, Conference Proceedings on CD-Rom, Firenze, December 2-5, 1998, 8 pp.
233. Voermans W. (1995), Sturen in de mist. . . Maar dan met radar. Ph.D. Dissertation, Tilburg University.
234. Voermans W. & Kralingen R.W. van (1999), "Informatie- en Communicatietechnologie in de juridische praktijk," in: Oskamp A. & Lodder A.R. (ed.) Informatietechnologie voor Juristen-Handboek voor de jurist in de 21ste eeuw. Deventer: Kluwer, pp. 37-64.
235. Vossos G., Zeleznikow J., Moore A. & Hunter D. (1993), "The Credit Act Advisory System (CAAS): Conversion from an Expert System Prototype to a C++ Commercial System," in: Proceedings of the Fourth International Conference on Artificial Intelligence and Law. Amsterdam: ACM Press, pp. 180-183.
236. Wagenaar W.A., Koppen P.J. van & Crombag H. (1993), Anchored Narratives. The Psychology of Criminal Evidence. NewYork: St. Martin's Press.
237. Waismann F. (1951), "Verifiability," in: Flew A. (ed.) Logic and Language. Cambridge, UK: Blackwell.
238. Walker R.F., Oskamp A., Schrickx J.A., Opdorp G.J.&Berg P.H. van den (1991), "PROLEXS: Creating Law and Order in a Heterogeneous Domain," International Journal of Man-Machine Studies, 35(1):35-68.
239. Walton D.N. (1996), Argumentation Schemes for Presumptive Reasoning. Mahwah, NJ: Erlbaum.
240. Walton D.N. & Krabbe E.C.W. (1995), Commitment in Dialogue. Basic Concepts of Interpersonal Reasoning. Albany, NY: State University of New York Press.
241. Warner D. (1994), "A Neural Network-Based Law Machine: The Problem of Legitimacy," Law, Computers and Artificial Intelligence, 2(2):135-147.
242. Wassestrom R. (1961), The Judicial Decision. Toward a Theory of Legal Justification. Stanford, CA: Stanford University Press.
243. Waterman D.A. & Peterson M. (1981), Models of Legal Decision Making, 155. Technical Report R-2717-1CJ. Santa Monica, CA: Rand Corporation.
244. Werbos P. (1974), Beyond Regression: New Tools for Prediction and Analysis in the Behavioural Sciences. Ph.D. Dissertation, Harvard University, Cambridge, MA.
245. Wigmore J.H. (1913), The Principles of Judicial Proof. Boston: Little Brown & Co.
246. Wigmore J.H. (1931), The Principles of Judicial Proof, 2nd Edition. Boston: Little Brown & Co.
247. Wigmore J.H. (1937), The Science of Judicial Proof as Given by Logic, Psychology and General Experience. Boston: Little Brown & Co.
248. WilkinsD.&Pillaipakkamnatt K. (1997), "The Effectiveness of Machine Learning Techniques for Predicting Time to Case Disposition," in: Proceedings of Sixth International Conference on Artificial Intelligence and Law. Melbourne, Australia: ACM, pp. 39-46.
249. Wilkinson R., Arnold-Moore T., Fuller M., Sacks-Davis Th.J. & Zobel J. (1998), Document Computing: Technologies for Managing Electronic Document Collections (The Kluwer International Series on Information Retrieval). Boston: Kluwer Academic Publishers.
250. Wimmer M. (ed.) (2004), "Knowledge Management in Electronic Government," in: Fifth IFIP International Working Conference Proceedings. Heidelberg: Springer LNAI.
251. Wimmer M. & Traunmüller M. (2003), "One-Stop Government Portale: Erfahrungen aus dem EU Projekt eGOV," in: Bonin H. (Hrsg.) Zukunft von Verwaltung und Informatik, 13 Jg., Heft 4.
252. Wimmer M. & Traunmueller R. (2003), "Knowledge Assets in the Public Sector: Some Spotlights on Administrative Knowledge," in: Palmirani M., Engers T. van & Wimmer M.A. (eds.) E-Government-Workshop in Conjunction with Jurix 2003. Proceedings, Schriftenreihe Informatik # 10. Linz: Trauner Verlag, pp. 41-53.
253. Wooldridge M.J. & Jennings N.R. (1995), "Intelligent Agents: Theory and Practice," The Knowledge Engineering Review, 10(2):115-152.
254. Xu M., Kaoru H. & Yoshino H. (1999), "A Fuzzy Theoretical Approach to Case-Based Representation and Inference in CISG," Artificial Intelligence and Law, 7(2-3):115-128.
255. Yannopoulos G.N. (1998), Modelling the Legal Decision Process for Information Technology Applications in Law. The Hague: Kluwer Law International.
256. Yearwood, J. (1997), "Case-Based Retrieval of Refugee Review Tribunal Text Cases," in: Legal Knowledge and Information Systems, Jurix 1997, The Tenth Annual Conference. Amsterdam: IOS Press, pp. 67-83.
257. Yearwood J. & Stranieri A. (in press), "The Generic Actual Argument Model of Practical Reasoning," Decision Support Systems.
258. Yoshino H. (1998), "Logical Structure of Contract Law System," Journal of Advanced Computational Intelligence, 2:2-11.
259. Zadeh L.A. (1965), "Fuzzy Sets," Information and Control, 8:338-353.
260. Zeleznikow J. (2000), "Building Judicial Decision Support Systems in Discretionary Legal Domains," International Review of Law, Computers and Technology, 14(3):341-356.
261. Zeleznikow J. & Bellucci E. (2003), "Family Winner: Integrating Game Theory and Heuristics to Provide Negotiation Support," in: Bourcier D. (ed.) Legal Knowledge and Information Systems. JURIX 2003: The Sixteenth Annual Conference. Amsterdam: IOS Press, pp. 21-30.
262. Zeleznikow J. & Hunter D. (1994), Building Intelligent Legal Information Systems. Representation and Reasoning in Law. Deventer: Kluwer Law and Taxation Publishers.
263. ZeleznikowJ., HunterD.&Stranieri A. (1997), "Using Cases to Build Intelligent Decision Support Systems," in: Meersman R., Chapman M.L.&Hall J. (eds.) Proc. IFIPWorking Group 2.6-Database Applications Semantics, Stone Mountain, GA, May 30-June 2, 1995. London, UK, pp. 443-460.
264. Zeleznikow J. & Stranieri A. (1995), "The Split-Up System," in:Proceedings of the Fifth International Conference on Artificial Intelligence and Law. New York: ACM, pp. 185-195.
265. Zeleznikow J. Stranieri A. et al. (1995-1996), "Project Report: Split-Up-A Legal Expert System which Determines Property Division Upon Divorce," Artificial Intelligence and Law, 3:267-275.
266. Zeleznikow J. Vossos G. & Hunter D. (1994), "The IKBALS Project: Multimodal Reasoning in Legal Knowledge Based Systems," Artificial Intelligence and Law, 2(3):169-203.