全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

The Rationale and Approach of the Legal Expert System Construction

DOI: 10.4236/blr.2022.131013, PP. 204-216

Keywords: Legal Expert System, Symbolism, Connectionism, Defeasible Reasoning

Full-Text   Cite this paper   Add to My Lib

Abstract:

Based on the interpretation on the evolution of theoretical basis of the construction of legal expert system as the clue, this article mainly analyzes and points out the dilemma faced by symbolism and connectionism as the algorithm on construction of legal expert system. Through defeasible reasoning, a contextual-based legal expert system could be realized. The legal expert system should be constructed with the judge as the center character, in which the personality of the judge could not necessarily be eliminated. As a result, the article provides a model of a legal expert system based on dual processing, including factual argumentation and legal argumentation.

References

[1]  Cao, Y. (2021). The Application of Extraterritorial Artificial Intelligence in the Judicial Field. People’s Court Daily, 008.
[2]  Ge, X. (2018). Reality and Prospects of the Application of Artificial Intelligence in Judicial Practice-Taking the Shanghai Court’s Intelligent Assistant Case Handling System for Administrative Cases as a Reference. ECUPL Journal, 21, 67-76.
[3]  Hage, J. (2003). Law and Defeasibility. Artificial Intelligence and Law, 11, 221-243.
https://doi.org/10.1023/B:ARTI.0000046011.13621.08
[4]  Ji, D. (2018). Changes in Judicial Power in the Era of Artificial Intelligence. Oriental Law, 1, 125-133.
[5]  Lei, L. (2016). Defend for the Subsumption Model. Peking University Law Journal, 28, 1206-1233.
[6]  Ma, C., Yu, H., & He, B. (2016). Big Data Analysis: Online Public Report of Chinese Judicial Judgment Documents. China Law Review, 4, 195-246.
[7]  Popp, W. G., & Schlink, B. (1975). Judith, a Computer Program to Advise Lawyers in Reasoning a Case. Jurimetrics Journal, 15, 303-314.
[8]  Popple, J. (1996). A Pragmatic Legal Expert System. Dartmouth Publishing Company.
https://doi.org/10.2139/ssrn.1335176
[9]  Prakken, H., & Vreeswijk, G. (2002). Logics for Defeasible Argumentation. In D. M. Gabbay, & F. Guenthner (Eds.), Handbook of Philosophical Logic (Vol. 4, pp. 219-318). Kluwer Academic Publishers.
https://doi.org/10.1007/978-94-017-0456-4_3
[10]  Song, G. (2019). On the Defeasibility in Jurisprudence. Law and Social Development, 25, 120-135.
[11]  Sun, F., & Fu, R. (2021). The Logical Starting Point of “Weak” Legal Artificial Intelligence Research. Social Scientists, 11, 123-129.
[12]  Toulmin, S., Rieke, R. D., & Janik, A. (1979). An Introduction to Reasoning. Macmillan.
[13]  Wu, D., & Sun, Y. (2021). Towards Explainable Interactive Artificial Intelligence: Motivation, Approach and Research Trend. Journal of Wuhan University (Philosophy and Social Sciences Edition), 74, 16-28.
[14]  Wu, Z. (2006). The Interaction of Legal Logic and Argumentation Logic. Studies in Law and Business, 5, 153-160.
[15]  Xu, J. (2018). The Limits and Future of Artificial Intelligence. Journal of Dialectics of Nature, 40, 27-32.
[16]  Yang, F. (2018). The Function of Discourse Analysis Method in Judicial Research—An Investigation Regarding “Judicial Rationalization” as the Standard Target. ECUPL Journal, 21, 159-169.
[17]  Yang, F., Qiao, R., Li, M., & Wang, N. (2019). A Survey of Machine Learning Classification Problems and Algorithms. Statistic & Decision, 32, 36-40.
[18]  Ye, F. (2019). The Operating Mechanism, Practical Obstacles and Prospects of Artificial Intelligence in the Field of Judges and Referees. Shanghai Legal Research, 5, 20.
[19]  Ye, S. (2018). Preliminary Construction of Reasoning Model of Judicial Adjudication Expert System. Master Thesis, Nanjing University.
[20]  Zhou, J., & Wu, Q. (2019). The Possibilities and Limits of Artificial Intelligence Judicial Decision-Making. ECUPL Journal, 22, 53-66.
[21]  Zhou, W. (2015). How to Model the Logic of Legal Argumentation. Philosophical Trends, 4, 75-104.
[22]  Zhou, Z., & Lü, T. (2021). Thoughts on the Methodology of Artificial Intelligence Legal System Reasoning. Social Sciences in Hunan, 3, 131-139.
[23]  Zhu, Q. (2004). Research Status and Prospect of Artificial Neural Network. Journal of Jiangnan University (Humanities & Social Sciences), 1, 103-110.
[24]  Zuo, M. (2018). Some Thoughts on the Application Prospects of Legal Artificial Intelligence in China. Tsinghua Law Review, 12, 108-124.
[25]  Zuo, M. (2019). Legal Discussion in the Era of Artificial Intelligence. Chinese Journal of Law, 41, 32-49.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133