DocumentCode
3038452
Title
Analogy making in criminal law with neural network
Author
Theresa, M. M Janeela ; Raj, V. Joseph
Author_Institution
Dept. of MCA, St. Xavier´´s Catholic Coll. of Eng., Chunkankadai, India
fYear
2011
fDate
23-24 March 2011
Firstpage
772
Lastpage
775
Abstract
This paper considers the problem of decision making by a Judge in case of murder cases. The paper describes the construction of decision system to be used by a Judge about to pass sentence in a murder case. The system is an Analogy making from examples. In law, analogy is used to resolve issues on which there is no previous authority. Analogies are drawn from precedent cases. The Judge finds that the facts of another case are similar to the one at hand to an extent that the analogous application of the rule established in the previous case is justified. In this paper a neural network is described for judgment in murder cases. The examples demonstrate how to model legal system analogous to recent decisions, first by learning a system with court decisions, and second, by analyzing, modeling and testing the decision making neural network.
Keywords
criminal law; neural nets; analogy making system; court decisions; criminal law; decision making; legal system; neural network; Artificial neural networks; Criminal law; Data mining; Fuzzy neural networks; Neurons; Analogy; Artificial neural network; Criminal law; Learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location
Tamil Nadu
Print_ISBN
978-1-4244-7923-8
Type
conf
DOI
10.1109/ICETECT.2011.5760222
Filename
5760222
Link To Document