학술논문

Using Bayesian Networks In Analysing Judgement
Document Type
Conference
Source
2019 International Conference on Computing, Computational Modelling and Applications (ICCMA) Computing, Computational Modelling and Applications (ICCMA), 2019 International Conference on. :110-1104 Mar, 2019
Subject
Computing and Processing
Bayes methods
Law
Decision making
Medical diagnostic imaging
Cognition
Decision support systems
technology
research
Bayesian theorem
artificial intelligence
judged
fairly
analysing
Language
Abstract
In recent years, technology has evolved exponentially therefore allowing for research into newer areas. The legal system has expressed significant growth in the area of Information Systems adoption and use forthe storage of cases, making information retrieval easy and old cases accessible. But there has been little work on decision support systems for validation of fairness of a judgement.In our work we proposed theBayesian network probability that was used to determine whether a case judged at the court was fair or not. We tested the system on cases and had promising results that could be improved and integrated into future legal information systems.