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Letteratura scientifica selezionata sul tema "Legal expert systems"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 20 febbraio 2023

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Articoli di riviste sul tema "Legal expert systems"

1

Leith, Philip. "Legal expertise and legal expert systems." International Review of Law, Computers & Technology 2, no. 1 (January 1986): 1–24. http://dx.doi.org/10.1080/13600869.1986.9966227.

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2

MacCormick, Neil. "Legal deduction, legal predicates and expert systems." International Journal for the Semiotics of Law 5, no. 2 (June 1992): 181–202. http://dx.doi.org/10.1007/bf01101868.

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3

Bequai, August. "Legal status of expert systems." Computer Law & Security Review 8, no. 3 (May 1992): 136. http://dx.doi.org/10.1016/0267-3649(92)90061-d.

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4

Yoshino, Hajime. ""Legal Expert" Project." Journal of Advanced Computational Intelligence and Intelligent Informatics 1, no. 2 (December 20, 1997): 83–85. http://dx.doi.org/10.20965/jaciii.1997.p0083.

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Abstract (sommario):

Since 1992, about 30 Japanese lawyers and computer scientists have been intensively engaged in a project of systematizing and computerizing legal reasoning. This project is the Study of Development of a Legal Expert System - Exploration of Legal Knowledge Structure and Implementation of Legal Reasoning or, in short, the "Legal Expert" Project. In this paper, I would like to introduce the Legal Expert project, explaining the goals, study organizations and their tasks in constructing legal expert systems in Japan.

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Zeide, Janet S., and Jay Liebowitz. "Using Expert Systems: The Legal Perspective." IEEE Expert 2, no. 1 (March 1987): 19–22. http://dx.doi.org/10.1109/mex.1987.4307032.

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6

Greenleaf, Graham, Andrew Mowbray, and Alan Tyree. "Legal expert systems: Words, words words … ?" International Review of Law, Computers & Technology 3, no. 1 (January 1987): 119–35. http://dx.doi.org/10.1080/13600869.1987.9966258.

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7

WATERMAN, DONALD A., JODY PAUL, and MARK PETERSON. "Expert systems for legal decision making." Expert Systems 3, no. 4 (October 1986): 212–26. http://dx.doi.org/10.1111/j.1468-0394.1986.tb00203.x.

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Gemignani, Michael C. "Some legal aspects of expert systems." Expert Systems with Applications 2, no. 4 (January 1991): 269–83. http://dx.doi.org/10.1016/0957-4174(91)90035-d.

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9

Raghupathi, Wullianallur, and Lawrence L. Schkade. "Legal Expert Systems Design: The Blackboard Model." Human Systems Management 12, no. 2 (1993): 145–58. http://dx.doi.org/10.3233/hsm-1993-12207.

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Oskamp, Anja. "Model for knowledge and legal expert systems." Artificial Intelligence and Law 1, no. 4 (December 1992): 245–74. http://dx.doi.org/10.1007/bf00186723.

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Tesi sul tema "Legal expert systems"

1

Susskind, Richard Eric. "Expert systems in law : a jurisprudential enquiry." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328926.

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Kowalski, Andrzej. "Beyond rule-based legal expert systems : using frames and case-based reasoning to analyze the tort of malicious prosecution." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/42045.

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Abstract (sommario):

Most legal expert systems to date have been purely rule-based. Case-based reasoning is a methodology for building legal expert systems whereby profiles of cases contained in a database, rather than specific legal rules, direct the outcomes of the system. Frame-based knowledge representation in legal expert systems involves the use of frames to represent legal knowledge. Case-based reasoning and frame-based knowledge representation offer significant advantages over purely rule-based legal expert systems in case-based law. These advantages are realizable by using the deep structure approa

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3

Popple, James David, and james@popple net. "SHYSTER: A Pragmatic Legal Expert System." The Australian National University. Faculty of Engineering and Information Technology, 1993. http://thesis.anu.edu.au./public/adt-ANU20020609.233848.

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Most legal expert systems attempt to implement complex models of legal reasoning. Yet the utility of a legal expert system lies not in the extent to which it simulates a lawyer's approach to a legal problem, but in the quality of its predictions and of its arguments. A complex model of legal reasoning is not necessary: a successful legal expert system can be based upon a simplified model of legal reasoning. ¶ Some researchers have based their systems upon a jurisprudential approach to the law, yet lawyers are patently able to operate without any jurisprudential insight. A useful legal expert s

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Shiravi-Khozani, Abdolhossein. "The legal aspect of international countertrade, with reference to the Australian Legal System." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phs5577.pdf.

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Bibliography: leaves 462-479. "... to provide a basis for understanding countertrade practices. In particular, however, it aims to provide assistance to trading parties to identify the problems associated with various forms of countertrade and to give them guidance in drafting countertrade contracts in the light of Australian law.".

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Massey, Philip. "An expert system for a legal office." Thesis, 1995. https://vuir.vu.edu.au/18190/.

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The subject of this thesis is the use of Information Technology (IT) to assist in the resolution of cases that appear before the Family Law Court in Australia. IT is used to assist in two processes. The first process is the intelligent gathering and preparation of information for Family Law cases. The second process is the modeling of case-decisions by the Family Law Court. The first process is covered in this thesis and the second process is part of the Andrew Stranieri's doctorate research at La Trobe University. Legal Interaction Charts (LIC) are developed to model procedures a Family

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Gray, Pamela N., University of Western Sydney, College of Business, and School of Law. "Legal knowledge engineering methodology for large-scale expert systems." 2007. http://handle.uws.edu.au:8081/1959.7/20012.

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Legal knowledge engineering methodology for epistemologically sound, large scale legal expert systems is developed in this dissertation. A specific meta-epistemological method is posed for the transformation of legal domain epistemology to large scale legal expert systems; the method has five stages: 1. domain epistemology; 2. computational domain epistemology; 3. shell epistemology; 4. programming epistemology; and 5. application epistemology and ontology. The nature of legal epistemology is defined in terms of a deep model that divides the information of the ontology of legal possibilities i

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Gray, Pamela N. "Legal knowledge engineering methodology for large-scale expert systems." Thesis, 2007. http://handle.uws.edu.au:8081/1959.7/20012.

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Abstract (sommario):

Legal knowledge engineering methodology for epistemologically sound, large scale legal expert systems is developed in this dissertation. A specific meta-epistemological method is posed for the transformation of legal domain epistemology to large scale legal expert systems; the method has five stages: 1. domain epistemology; 2. computational domain epistemology; 3. shell epistemology; 4. programming epistemology; and 5. application epistemology and ontology. The nature of legal epistemology is defined in terms of a deep model that divides the information of the ontology of legal possibilities i

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Engle, Eric. "Artificial Intelligence and Law Using Rule Based Expert Systems." Thesis, 2005. http://hdl.handle.net/10919/71606.

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Deedman, Galvin Charles. "Developing conceptual frameworks for structuring legal knowledge to build knowledge-based systems." Thesis, 1994. http://hdl.handle.net/2429/6998.

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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 o

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Venter, Casper Henderik. "A critical review of the current state of forensic science knowledge and its integration in legal systems." Thesis, 2020. http://hdl.handle.net/10500/26684.

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Forensic science has a significant historical and contemporary relationship with the criminal justice system. It is a relationship between two disciplines whose origins stem from different backgrounds. It is trite that effective communication assist in resolving underlying problems in any given context. However, a lack of communication continues to characterise the intersection between law and science. As recently as 2019, a six-part symposium on the use of forensic science in the criminal justice system again posed the question on how the justice system could ensure the reliability of forens

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Libri sul tema "Legal expert systems"

1

Tyree, Alan. Expert systems in law: An introduction to expert systems with legal examples. Englewood Cliffs, NJ: Prentice Hall, 1988.

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2

James, Popple. A pragmatic legal expert system. Aldershot: Dartmouth, 1996.

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3

Visser, Pepijn R. S. Knowledge specification for multiple legal tasks: A case studyof the interaction problem in the legal domain. The Hague: Kluwer, 1995.

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4

Zeleznikow, J. Building intelligent legal information systems: Representation and reasoning in law. Deventer: Kluwer Law and Taxation Publishers, 1994.

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Expert systems in law: A jurisprudential inquiry. Oxford: Clarendon, 1987.

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6

Visser, Pepijn R. S. Knowledge specification for multiple legal tasks: A case study of the interaction problem in the legal domain. Leiden: Rijksuniversiteit te Leiden, 1995.

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7

Transforming the law: Essays on technology, justice, and the legal marketplace. Oxford [England]: Oxford University Press, 2000.

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8

Poland) JURIX (Conference) (27th 2014 Kraków. Legal knowledge and information systems: JURIX 2014, the twenty-seventh annual conference. Amsterdam, Netherlands: IOS Press, 2014.

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9

Symposium on Legal Data Processing in Europe (9th 1989 Bonn, Germany). Systems based on artificial intelligence in the legal field: Proceedings of the 9th Symposium on Legal Data Processing in Europe, Bonn, 10-12 October 1989. Strasbourg: Council of Europe, 1991.

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10

Wilds, Leah J. The legal-institutional analysis model (LIAM): A validation study. Washington, DC: U.S. Fish and Wildlife Service, National Ecology Research Center, 1988.

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Capitoli di libri sul tema "Legal expert systems"

1

Leith, Philip. "Legal Expert Systems." In The Computerised Lawyer, 181–99. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-3351-3_9.

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2

Deedman, Cal, Daphne Gelbart, and Morris Coleman. "Slate: Specialized Legal Automated Term Extraction." In Database and Expert Systems Applications, 133–37. Vienna: Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-7557-6_23.

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3

Gelbart, Daphne, and J. C. Smith. "Toward a Comprehensive Legal Information Retrieval System." In Database and Expert Systems Applications, 121–25. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_20.

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4

Bratley, Paul, Daniel Poulin, and Jacques Savoy. "The effect of change on legal applications." In Database and Expert Systems Applications, 436–41. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-7555-2_73.

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5

Basu, Amit, L. Ramkumar, and Fredric D. Abramson. "An Expert System for Legal Case Research Support." In Database and Expert Systems Applications, 116–20. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_19.

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Mariani, Paola, and Daniela Tiscornia. "A Historical Data Bank of Italian Legal Language." In Database and Expert Systems Applications, 394–98. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_64.

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Bench-Capon, T. J. M., and P. E. S. Dunne. "An Approach to the Integration of Legal Support Systems." In Database and Expert Systems Applications, 105–11. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_17.

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Thomasset, Claude, François Blanchard, and Louis-Claude Paquin. "Legal knowledge elicitation: from textual databases to expert systems." In Database and Expert Systems Applications, 167–72. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_27.

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Di Giorgi, Rosa M., Elio Fameli, and Roberta Nannucci. "Expert System and Database Interaction in the Legal Domain." In Database and Expert Systems Applications, 281–84. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_45.

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Cammelli, Antonio, and Fiorenza Socci. "Lexis: A Legal Expert System for Improving Legislative Drafting." In Database and Expert Systems Applications, 405–9. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_66.

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Atti di convegni sul tema "Legal expert systems"

1

Poulin, Daniel, Paul Bratley, Jacques Frémont, and Ejan Mackaay. "Legal interpretation in expert systems." In the fourth international conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/158976.158988.

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Futo, Ivan, and Jozsef Varkonyi. "Legal expert systems as simulation tools." In the 25th conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/256563.257023.

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Bench-Capon, T. J. M. "Deep models, normative reasoning and legal expert systems." In the second international conference. New York, New York, USA: ACM Press, 1989. http://dx.doi.org/10.1145/74014.74020.

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Bench-Capon, T. J. M. "Categorising justifications in legal argument." In Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795282.

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Haeusler, Edward Hermann, Valeria de Paiva, and Alexandre Rademaker. "Intuitionistic Description Logic and Legal Reasoning." In 2011 22nd International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2011. http://dx.doi.org/10.1109/dexa.2011.46.

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6

Layman, E. A., and C. S. Saxon. "Some problems in designing expert systems to aid legal reasoning." In the first international conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/41735.41747.

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Forhecz, Andras, and Gyorgy Strausz. "An ontology-based rule chaining algorithm for legal expert systems." In 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2011. http://dx.doi.org/10.1109/cinti.2011.6108546.

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Lehmann, J. "Towards the formalization of legal causal reasoning." In Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795283.

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Hedin, Bruce, and Douglas W. Oard. "Replication and automation of expert judgments: Information engineering in legal e-discovery." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346118.

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Elhadi, M. T., and T. Vamos. "An IR-CBR approach to legal indexing and retrieval in bankruptcy law." In Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795281.

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Rapporti di organizzazioni sul tema "Legal expert systems"

1

Almeida, Fernanda. Legislative Pathways for Securing Community-based Property Rights. Rights and Resources Initiative, May 2017. http://dx.doi.org/10.53892/xmhg7144.

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Governments are increasingly recognizing Indigenous Peoples’ and local communities’ rights to land and resources. Despite increased recognition, there are several shortcomings in the legal frameworks through which governments formally recognize community-based property rights. Building on consultations with legal experts on community rights, recent literature, and a review of over 200 national legal instruments, this paper proposes a framework of analysis to systematically classify and evaluate legal pathways to secure recognition of community-based property rights. The framework considers fiv

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2

Bolton, Laura. Criminal Activity and Deforestation in Latin America. Institute of Development Studies (IDS), December 2020. http://dx.doi.org/10.19088/k4d.2021.003.

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This review examines evidence on criminal deforestation activity in Latin America (particularly, but not exclusively the Amazon) and draws from the literature on the lessons learned in combatting criminal deforestation activity. This review focuses on Brazil as representative of the overwhelming majority of literature on criminal activity in relation to deforestation in the Amazon. The literature notes that Illegal deforestation occurs largely through criminal networks as they have the capacity for coordination, processing, selling, and the deployment of armed men to protect operations. Briber

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Winkler-Portmann, Simon. Umsetzung einer wirksamen Compliance in globalen Lieferketten am Beispiel der Anforderungen aus der europäischen Chemikalien-Regulierung an die Automobilindustrie. Sonderforschungsgruppe Institutionenanalyse, August 2020. http://dx.doi.org/10.46850/sofia.9783941627796.

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This publication based on a master thesis explores the challenges of the automotive industry regarding the European chemical regulations REACH and CLP, as well as potential improvements of the current compliance activities and the related incentives and barriers. It answers the research question: "To what extent should the compliance activities of actors in the automotive supply chain be extended in order to meet the requirements of European chemicals regulation; and where would it help to strengthen incentives in enforcement and the legal framework?“. The study’s structure is based on the tra

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Financial Stability Report - September 2015. Banco de la República, August 2021. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2015.

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From this edition, the Financial Stability Report will have fewer pages with some changes in its structure. The purpose of this change is to present the most relevant facts of the financial system and their implications on the financial stability. This allows displaying the analysis more concisely and clearly, as it will focus on describing the evolution of the variables that have the greatest impact on the performance of the financial system, for estimating then the effect of a possible materialization of these risks on the financial health of the institutions. The changing dynamics of the ri

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