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Expert System Application in law: A review of research and applications | ||
International Journal of Nonlinear Analysis and Applications | ||
مقاله 9، دوره 15، شماره 8، آبان 2024، صفحه 107-114 اصل مقاله (519.55 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.31260.4596 | ||
نویسندگان | ||
Mohammad Farajollahi؛ Vahid Baradaran* | ||
Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran | ||
تاریخ دریافت: 28 اسفند 1401، تاریخ بازنگری: 22 تیر 1402، تاریخ پذیرش: 02 مرداد 1402 | ||
چکیده | ||
Artificial intelligence (AI) is the intelligence exhibited by machines or software. Expert systems are one of the common applications of artificial intelligence. Legal expert systems are programs which can reason and think like lawyers. There is an urgent need to develop a legal expert system for the people to solve their legal troubles in order reduce problems to people frequently arising legal solutions or legal queries, there is a need legal lawyer is mandatory, so there is an urgent need for the use of practical AI solutions in many of areas for problems which people encounter in their daily lives. This research paper introduces the introduction, structure, applications or review of a legal expert system. This paper also discusses the advantages, new tools and various research aspects in low expert systems. This paper intends to outline current research trends which are found in low expert systems literature. | ||
کلیدواژهها | ||
Artificial intelligence؛ Legal expert systems | ||
مراجع | ||
[1] A.M. Cornelia, C.I. Murzea, B. Alexandrescu, and A. Repanovici, Expert systems with applications in the legal domain, Proc. Technol. 19 (2015), 1123–1129. [2] J.L. Goldberg, C. Wineman, and M. Jenkins, Eliciting the requirements for intelligent systems in law enforcement, J. Cases Inf. Technol. 6 (2004), 418–439. [3] M.D.G.C. Delgado, Conceptual representation of expert knowledge in FunGramKB: The derivation process in several typical crimes of criminal law, Proc.-Soc. Behav. Sci. 212 (2015), 166–173. [4] A.V.D.L. Gardner, An Artificial Intelligence Approach to Legal Reasoning, MIT Press, 1987. [5] G. Greenleaf, A. Mowbray, and A. Tyree, The DataLex legal workstation: integrating tools for lawyers, Artif. Intell. Law 31 (1991). [6] P. Jackson, Introduction to Expert Systems, (3 ed.), Addison Wesley, 1998. [7] J. Mena, Machine Learning Forensics for Law Enforcement, Security, and Intelligence, Taylor & Francis Group, 2011. [8] T.A. O’Callaghan, A hybrid legal expert system, BS Thesis, The Australian National University, 2003. [9] G.J.V. Opdorp, R.F. Walker, J.A. Schrickx, C. Groendijk, and P.H.V.D. Berg, Networks at work: a connectionist approach to non-deductive legal reasoning, Int. Conf. Artif. Intell. Law, 1987, pp. 278–287. [10] W.G. Popp and B. Schlink, Judith, a computer program to advise lawyers in reasoning a case, Jurimetrics J. 15 (1975). [11] J. Popple, Legal expert systems: The inadequacy of a rule-based approach, Austr. Comput. J. 23 (1991), 8. [12] J. Popple, A pragmatic legal expert system, Dartmouth (Ashgate), 1996. [13] E.L. Rissland and D.B. Skalak, Combining case-based and rule-based reasoning: A heuristic approach, IJCAI, 1989, pp. 524–530. [14] S.J. Russell, Artificial Intelligence a Modern Approach, Pearson Education, Inc. 2010. [15] R.E. Susskind, The latent damage system: A jurisprudential analysis, Proc. 2nd Int. Conf. Artific. Intell. Law, ICAIL ’89, 1989, pp. 23–32. [16] W.J. Tastle, Intelligent data mining in law enforcement analytics, M. Buscema and W.J. Tastle (Eds.), Springer Netherlands, Dordrecht, 2013. [17] M.L. Thorne, Reflections on Taxman: An Experiment in Artificial Intelligence and Legal Reasoning, Harvard Law Review, 1977. [18] A.L. Tyree, G. Greenleaf, and A. Mowbray, Legal reasoning: the problem of precedent, Artif. Intell. Developments Appl. Ch. 16, Elsevier Science (North-Holland), Amsterdam. Edited selection of papers to the Australian Joint Artificial Intelligence Conference, Sydney, Australia, 2-4 November 1987 (1988), pp. 231–245. [19] G. Vossos and J. Zeleznikow, An example of integrating legal case based reasoning with object-oriented rule-based systems: IKBALS II, Int. Conf. Artif. Intell. Law, 1991, pp. 31–41. [20] D. Walton, Argumentation Methods for Artificial Intelligence and Law, Springer, 2005. [21] J. Zeleznikow, A. Stranieri and M. Gawler, Project report: Split-Up—A legal expert system which determines property division upon divorce, Artif. Intell. Law 3 (1995), 267–275. [22] Y. Zeng, R. Wang, J. Zeleznikow, and E. Kemp, A knowledge representation model for the intelligent retrieval of legal cases, Int. J. Law Inf. Technol. 15 (2006), no. 3, 299–319. | ||
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