CDMBE: A Case Description Model Based on Evidence.

Jianlin Zhu,Jing Zhou,Xiaoping Yang

doi:10.1155/2015/470818

Jianlin Zhu, Jing Zhou + Show 1 more

Open Access

https://doi.org/10.1155/2015/470818

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Abstract

By combining the advantages of argument map and Bayesian network, a case description model based on evidence (CDMBE), which is suitable to continental law system, is proposed to describe the criminal cases. The logic of the model adopts the credibility logical reason and gets evidence-based reasoning quantitatively based on evidences. In order to consist with practical inference rules, five types of relationship and a set of rules are defined to calculate the credibility of assumptions based on the credibility and supportability of the related evidences. Experiments show that the model can get users' ideas into a figure and the results calculated from CDMBE are in line with those from Bayesian model.

Highlights

There are many classical models in legal argument domain, such as argument graph models of informal logic, argument map, and Bayesian network
Bayesian network is a kind of probabilistic graphical model and it is suitable to reason the legal argument process
For combining the advantages of traditional logic and informal logic, we proposed a case description model based on evidence, which can get users’ ideas into a figure, can clear up their thoughts, and has a strict calculability

Summary

Introduction

There are many classical models in legal argument domain, such as argument graph models of informal logic, argument map, and Bayesian network. Wigmore chart includes supporting evidences and opposing evidences It can help the user get his ideas into a figure. Bayesian network is a kind of probabilistic graphical model and it is suitable to reason the legal argument process. It describes the relationships between evidences and assumptions as probabilities and can realize quantitative reasoning. It requires that the user have a lot of background knowledge of mathematics, and it is not suitable to get the user’s ideas into a figure [3]. The premises and conclusions in the model are all open, which makes the model plausible and defeasible

Related Work

Case Description Model Based on Evidence

Experiments

Conclusion